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6.0 years

60 - 65 Lacs

Chandigarh, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Dehradun, Uttarakhand, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Thiruvananthapuram, Kerala, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Patna, Bihar, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Mysore, Karnataka, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Vijayawada, Andhra Pradesh, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Ghaziabad, Uttar Pradesh, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Gurugram, Haryana, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Noida, Uttar Pradesh, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Noida, Uttar Pradesh, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Agra, Uttar Pradesh, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Coimbatore, Tamil Nadu, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Chennai, Tamil Nadu, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Vellore, Tamil Nadu, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Madurai, Tamil Nadu, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Surat, Gujarat, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Ahmedabad, Gujarat, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Jaipur, Rajasthan, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Thane, Maharashtra, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Nagpur, Maharashtra, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Greater Lucknow Area

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Kanpur, Uttar Pradesh, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Nashik, Maharashtra, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Kolkata, West Bengal, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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6.0 years

60 - 65 Lacs

Bhubaneswar, Odisha, India

Remote

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Experience : 6.00 + years Salary : INR 6000000-6500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - Crop.Photo) What do you need for this opportunity? Must have skills required: ML, Python Crop.Photo is Looking for: We’re looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI — while integrating visual AI pipelines built by ML engineers. You’ll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You won’t be working in a silo — this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What You’ll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions — from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach — you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables — you write clean, tested code and debug edge cases until they’re truly fixed The ability to frame problems from scratch and work without strict handoffs — you build from a goal, not a ticket Skills & Experience We Expect Core Engineering Experience 6–8 years of professional software engineering experience in production environments 2–3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5–7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) — 2+ years System Optimization & Middleware (3–5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2–3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4–6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2–3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings — able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

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Exploring Inference Jobs in India

With the rapid growth of technology and data-driven decision making, the demand for professionals with expertise in inference is on the rise in India. Inference jobs involve using statistical methods to draw conclusions from data and make predictions based on available information. From data analysts to machine learning engineers, there are various roles in India that require inference skills.

Top Hiring Locations in India

  1. Bangalore
  2. Mumbai
  3. Delhi
  4. Hyderabad
  5. Pune

These major cities are known for their thriving tech industries and are actively hiring professionals with expertise in inference.

Average Salary Range

The average salary range for inference professionals in India varies based on experience level. Entry-level positions may start at around INR 4-6 lakhs per annum, while experienced professionals can earn upwards of INR 12-15 lakhs per annum.

Career Path

In the field of inference, a typical career path may start as a Data Analyst or Junior Data Scientist, progress to a Data Scientist or Machine Learning Engineer, and eventually lead to roles like Senior Data Scientist or Principal Data Scientist. With experience and expertise, professionals can also move into leadership positions such as Data Science Manager or Chief Data Scientist.

Related Skills

In addition to expertise in inference, professionals in India may benefit from having skills in programming languages such as Python or R, knowledge of machine learning algorithms, experience with data visualization tools like Tableau or Power BI, and strong communication and problem-solving abilities.

Interview Questions

  • What is the difference between inferential statistics and descriptive statistics? (basic)
  • How do you handle missing data in a dataset when performing inference? (medium)
  • Can you explain the bias-variance tradeoff in the context of inference? (medium)
  • What are the assumptions of linear regression and how do you test them? (advanced)
  • How would you determine the significance of a coefficient in a regression model? (medium)
  • Explain the concept of p-value and its significance in hypothesis testing. (basic)
  • Can you discuss the difference between frequentist and Bayesian inference methods? (advanced)
  • How do you handle multicollinearity in a regression model? (medium)
  • What is the Central Limit Theorem and why is it important in statistical inference? (medium)
  • How would you choose between different machine learning algorithms for a given inference task? (medium)
  • Explain the concept of overfitting and how it can affect inference results. (medium)
  • Can you discuss the difference between parametric and non-parametric inference methods? (advanced)
  • Describe a real-world project where you applied inference techniques to draw meaningful conclusions from data. (advanced)
  • How do you assess the goodness of fit of a regression model in inference? (medium)
  • What is the purpose of cross-validation in machine learning and how does it impact inference? (medium)
  • Can you explain the concept of Type I and Type II errors in hypothesis testing? (basic)
  • How would you handle outliers in a dataset when performing inference? (medium)
  • Discuss the importance of sample size in statistical inference and hypothesis testing. (basic)
  • How do you interpret confidence intervals in an inference context? (medium)
  • Can you explain the concept of statistical power and its relevance in inference? (medium)
  • What are some common pitfalls to avoid when performing inference on data? (basic)
  • How do you test the normality assumption in a dataset for conducting inference? (medium)
  • Explain the difference between correlation and causation in the context of inference. (medium)
  • How would you evaluate the performance of a classification model in an inference task? (medium)
  • Discuss the importance of feature selection in building an effective inference model. (medium)

Closing Remark

As you explore opportunities in the inference job market in India, remember to prepare thoroughly by honing your skills, gaining practical experience, and staying updated with industry trends. With dedication and confidence, you can embark on a rewarding career in this field. Good luck!

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