About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep GO expertise to review evaluations completed by data annotators assessing AI-generated GO code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated GO code. Assess if the GO code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in GO development, QA, or code review. Strong knowledge of GO syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your GO expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

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: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps 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

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: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps 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

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: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps 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

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: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps 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

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: MAM, App integration Crop.Photo is Looking for: Technical Lead for Evolphin AI-Driven MAM At Evolphin, we build powerful media asset management solutions used by some of the world’s largest broadcasters, creative agencies, and global brands. Our flagship platform, Zoom, helps teams manage high-volume media workflows—from ingest to archive—with precision, performance, and AI-powered search. We’re now entering a major modernization phase, and we’re looking for an exceptional Technical Lead to own and drive the next-generation database layer powering Evolphin Zoom. This is a rare opportunity to take a critical backend system that serves high-throughput media operations and evolve it to meet the scale, speed, and intelligence today’s content teams demand. What you’ll own Leading the re-architecture of Zoom’s database foundation with a focus on scalability, query performance, and vector-based search support Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rollout—all with aggressive timelines Skills & Experience We Expect We’re looking for candidates with 7–10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas: System Design & Architecture (3–4 yrs) Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments Led system-level design for scalable, modular AWS microservices architectures Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models Deep understanding of infrastructure observability, failure handling, and graceful degradation Database & Metadata Layer Design (3–5 yrs) Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases Comfortable evaluating trade-offs between memory, query latency, and write throughput Semantic Search & Vectors (1–3 yrs) Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases Experience tuning vector indexers for performance, memory footprint, and recall Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints) Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them Media Asset Workflow (2–4 yrs) Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC Understanding of proxy workflows in video post-production Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives Cloud-Native Architecture (AWS) (3–5 yrs) Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge Experience building serverless or service-based compute models for elastic scaling Familiarity with managing multi-region deployments, failover, and IAM configuration Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows Frontend Collaboration & React App Integration (2–3 yrs) Worked closely with React-based frontend teams, especially on desktop-style web applications Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries Experience with Electron for desktop apps 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

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. The Zscaler Sales and Go-to-Market team is a global group of professionals who are passionate about delighting our customers, nurturing trusted partnerships, and sharing their expertise to drive a secure, cloud-enabled digital future and further cement our position as the world leader in cloud security. Sales, Customer Success, Sales Enablement, Solution Architects, Business Development, Transformation, and Technology Partnerships all work together to demonstrate the power and agility of Zscaler cloud transformation to the world Responsibilities We're looking for an experienced Account Executive to join our Sales team. Reporting to the Sales Director , you'll be responsible for: Understanding and solving customers' pain points through Zscaler's unique value proposition Selling an inspiring technology to educate key decision-makers in organizations in your territory Being the GM of your business and create a plan for success; coverage, target prospects, customer footprint, partner coverage, marketing campaigns Learning and implementing our world-class sales methodologies to overachieve on quarterly/annual revenue goals Working with your Solution Consultants to achieve both business and technical value What We're Looking For (Minimum Qualifications) Minimum 8 years selling experience with a revenue quota Bachelor's degree in Business or related area Progressive selling experience engaging with accounts and selling at C-Level What Will Make You Stand Out (Preferred Qualifications) Experience selling security, SaaS or Software History of over-achievement in your career and are in the top 10% in your current organization Experience working with Channel partners to create joint plans, create pipeline and lead opportunities to closure At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Benefits Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. Show more Show less

About We are looking for a highly motivated Generative AI & Machine Learning Specialist with a strong foundation in GenAI concepts, ML algorithms, and vector-based retrieval techniques. This position is in the AI sector and requires hands-on experience in building LLM-powered applications. Key Responsibilities Design and develop AI-powered solutions leveraging Generative AI and LLMs. Implement vector-based search and retrieval systems using vector databases. Develop and apply chunking strategies to optimize document ingestion and query accuracy. Work on prompt engineering techniques to enhance LLM interaction and performance. Utilize frameworks like LangChain to integrate LLMs into scalable applications. Ideal Profile Strong understanding of Generative AI, LLMs, and their practical applications. Knowledge of chunking strategies for text processing and LLM input optimization. Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate). Proficiency in machine learning algorithms and their application in real-world scenarios. Experience working on ML projects with defined goals and measurable outcomes. Excellent analytical and communication skills. Nice to Have Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. Publications or hands-on contributions in the field of GenAI or LLMs. Skills: GenAI,LangChain,LLM,LangGraph,FAISS,MCP,Agentic,Machine Learning,Classification,Regression,ScikitLearn Show more Show less

About We are looking for a highly motivated Generative AI & Machine Learning Specialist with a strong foundation in GenAI concepts, ML algorithms, and vector-based retrieval techniques. This position is in the AI sector and requires hands-on experience in building LLM-powered applications. Key Responsibilities Design and develop AI-powered solutions leveraging Generative AI and LLMs. Implement vector-based search and retrieval systems using vector databases. Develop and apply chunking strategies to optimize document ingestion and query accuracy. Work on prompt engineering techniques to enhance LLM interaction and performance. Utilize frameworks like LangChain to integrate LLMs into scalable applications. Ideal Profile Strong understanding of Generative AI, LLMs, and their practical applications. Knowledge of chunking strategies for text processing and LLM input optimization. Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate). Proficiency in machine learning algorithms and their application in real-world scenarios. Experience working on ML projects with defined goals and measurable outcomes. Excellent analytical and communication skills. Nice to Have Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. Publications or hands-on contributions in the field of GenAI or LLMs. Skills: GenAI,LangChain,LLM,LangGraph,FAISS,MCP,Agentic,Machine Learning,Classification,Regression,ScikitLearn Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA The Senior Associate Critical Facilities Operations and Maintenance Engineer is a developing subject matter expert, responsible for working with all major systems within a facility or building such as electrical and HVAC systems and performs regular maintenance on all systems. This role helps to design, plan, install, and / or maintain mechanical, electrical, and other medium complexity infrastructure systems in mission-critical, high-risk, or high-reliability data center environments. What You'll Be Doing Key Responsibilities: Helps to design, plan, install, and/or maintain mechanical, electrical, plumbing, and other infrastructure systems in mission-critical, high-risk, or high-reliability environments such as data centers or utilities infrastructure. Learns by providing hands on assistance with all major systems within a facility or building such as electrical and HVAC systems and performs regular maintenance on all systems. Ensures proficient understanding of sensitive facility components that may be impacted by failures or malfunctions of infrastructure systems. Supports the analysis of current operating conditions and recommends new preventative and proactive methods for maintaining and monitoring facilities systems. Evaluates facility standards and practices to improve maintenance procedures and ensure optimal operational efficiency. Complies with organizational and governmental safety standards and coordinates response to emergency situations and ensures that corrective measures are rapid and thorough. Participates in the planning and installation of new facility systems and may work with multiple components including HVAC systems, air or liquid cooling systems, CRAC/CRAH units, power distribution units, fire systems, life safety systems, etc. Learns to repair all systems and monitoring and troubleshooting systems as problems arise. Coordinates with building administration to ensure common area services are properly provided to client and list services. Manages the feedback, response and corrective action (if any) process to address any client feedback and concerns on all facility matters. Assists in ensuring facility assets and installations are accounted for and monitored within the relevant policies and reporting procedures. Completes work order requests accurately and on time and within budget. May be required to order parts and supplies for maintenance and repairs. Assists in scheduling and supervising vendors/subcontractors during equipment / systems maintenance and service. Provides recommendation of improvements to the operations and maintenance program on an on-going basis. Provides any other engineering activities as required by the Critical Facilities Operations and Maintenance management team. Knowledge and Attributes: Developing understanding of safe work practices, which are set by safety regulations and legislation. Developing proficiency of sensitive facility components that may be impacted by failures or malfunctions of infrastructure systems. Developing knowledge of Microsoft Office Suite - Word, Excel and Outlook. Developing knowledge of CMMS systems. Developing knowledge of critical facilities operations and maintenance. Developing knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments. Ability to maintain a positive and professional working relationship with cross functional teams. Excellent communication skills, both written and verbal. Demonstrates good analytical skills, having an ability to analyze, refine, summarize, and clearly present data and information. Possesses passion for service, self-motivated, proactive by going beyond the call of duty and has an ability to handle multiple tasks. Ability to prioritize and meet tight deadlines and is comfortable working in a fast-paced and constantly evolving environment. Academic Qualifications and Certifications: Bachelor’s degree or equivalent in engineering or related field. Trade Certification or state license in Electrical or Mechanical (HVAC) preferred. Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) preferred. Experience required: Moderate level experience working in a similar engineering role, preferably a data center environment. Relevant demonstrated experience in electrical, HVAC, mechanical, controls, or other technical engineering and maintenance field. Relevant experience interpreting blueprints/CAD drawings. Relevant experience in facilities / building maintenance. Moderate level experience in designing, planning, installing and / or maintaining mechanical, electrical, plumbing, and other infrastructure systems in mission-critical, high-risk, or high-reliability environments such as data centers or utilities infrastructure. Workplace type: On-site Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. 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We are seeking a visionary and execution-focused Entrepreneur in Residence (EIR) to collaborate with our leadership team in shaping, validating, and potentially launching high-impact ventures. This role offers a front-row seat in a fast-growing deep-tech startup that’s solving real-world problems through cutting-edge innovation. As an EIR, you will work closely with the founding team across key strategic initiatives — from market discovery and product ideation to business model design, investor documentation, and go-to-market planning. This is a hands-on, high-autonomy role designed for someone ready to build or co-build the next transformative company. 🎯 What You’ll Do Identify and explore new venture opportunities in alignment with our mission Conduct deep market research, competitor mapping, and customer discovery Develop strategic proposals, business cases, and execution roadmaps Lead or support investor documentation, including pitch decks, financial models, and narrative building Collaborate with tech and product teams to define MVP specs and growth plans Option to transition into a founder/CEO role for validated ideas 💡 Who You Are A former founder, early startup operator, or domain expert with strong entrepreneurial drive Comfortable navigating ambiguity, taking ownership, and moving fast Strong business acumen with a knack for spotting market gaps and validating hypotheses Excellent communicator — able to craft compelling narratives for investors, partners, and teams [Optional: Prior experience in deep-tech, AI/ML, climate tech, or relevant sectors] 🌱 What You’ll Gain Opportunity to build from zero with support from an experienced leadership team Access to our investor and expert network A platform to test ideas with real-world impact and a clear path to funding Show more Show less

Quidich Innovation Labs is a global company headquartered in Mumbai, India, that pioneers customised technology solutions for Sports Broadcasts. From the outset, we have believed in the power of the story that sport tells as a tool to bring people together, and that this story best reaches fans through the way it is broadcast. Building on this thinking, we have created various technology tools over the past five years and deployed them at tournaments such as the Indian Premier League, ICC Men’s T20 World Cup, ICC Women’s World Cup, and Men's FIH Hockey World Cup, to name a few. Role As a Quality Control Associate at Quidich, you will embark on an exciting journey in the world of sports technology and play a vital role in assisting the technology team to work on global projects. We are seeking a highly intelligent and motivated individual to join our team as a Junior Quality Assurance/Control Engineer. Quality control engineers play a crucial role in ensuring products meet specified standards. They also contribute to problem-solving and continuous improvement efforts, striving to maintain high standards throughout the process. This is an exciting opportunity for someone passionate about ensuring the quality and reliability of AI applications and wants to kick-start their career in the field. Responsibilities Testing and Quality Assurance: Conducting thorough testing of AI applications to ensure functionality, performance, and reliability. Collaborating with the tech team to understand application features and requirements. Developing and executing test cases, scripts, and plans for both manual and automated testing. Identifying and reporting defects, issues, and inconsistencies with detailed documentation. Feature Testing: Focusing on testing specific features and functionalities of AI applications. Working closely with developers to understand feature specifications and requirements. Performing regression testing to ensure new features do not negatively impact existing functionality. Documentation: Creating comprehensive test documentation including test plans, test cases, and test reports. Documenting and communicating issues clearly, providing necessary details for the development team. Collaboration: Collaborating with the development team to understand the technical aspects of applications. Working closely with cross-functional teams to ensure a smooth testing process. Continuous Improvement: Contributing to the improvement of testing processes and methodologies. Stay updated on industry best practices and emerging trends in AI testing Support: Willingness to support operators outside of regular duty hours and to work on Saturdays and Sundays as needed to ensure uninterrupted operations and quality standards. Innovative Strategy: Demonstrating creativity by conceptualizing new storylines and innovative camera movements to enhance the viewing experience for audiences during live-matches. Required Skills and Competencies 1-2 years of relevant experience Experience in Unreal space will be bonus Sports Knowledge : Strong knowledge of cricket, with additional expertise in other sports considered a plus, along with a thorough understanding of cricket rules and regulations to ensure accurate interpretation and application during match analysis and related activities. Strong Analytical Skills : Ability to identify, troubleshoot, and resolve complex issues in AI applications through detailed analysis and critical thinking Testing Expertise: Proficiency in manual and automated testing methodologies, with experience developing and executing test cases, scripts, and test plans. Attention to Detail: Meticulous approach to identifying defects, inconsistencies, and potential improvements in application features and performance. Documentation Skills : Strong written communication skills for creating clear, comprehensive test documentation and reporting issues effectively. Collaboration & Teamwork : Proven ability to work effectively with cross-functional teams, including developers, operators, and other stakeholders. Adaptability: Willingness to support operational needs outside of standard working hours, including weekends, to ensure seamless operations. Creativity & Innovation: Capacity to generate new ideas for storylines and camera movements, enhancing the live match viewing experience. Continuous Learning: Commitment to staying updated on industry best practices, emerging trends in AI testing, and adopting new tools and methodologies. Time Management: Excellent organizational and prioritization skills to manage multiple tasks and meet deadlines in a fast-paced environment. Location : Mumbai Reporting To : Assistant Manager-QC Joining Date : Immediate Interested candidates, please send your CV to careers@quidich.com Show more Show less

Job Description: Director – Sales Location: Bangalore Company: Chat360 Experience: 5+ Years About Us: Chat360 is a prominent Generative AI-driven customer engagement platform, supported by a $150M group and partnered with Meta and Microsoft. We serve over 350 leading global brands, empowering them to automate customer interactions, enhance user experiences, and drive business growth through AI-powered chatbots and omnichannel solutions. With a consultative approach, we enable enterprises to harness cutting-edge AI technologies to generate leads, improve customer retention, and streamline customer support and marketing efforts across platforms such as WhatsApp, Instagram, Facebook, Google, and other digital channels. The founding team consists of alumni from London Business School and IIT, bringing together a strong blend of business expertise and technological innovation. · Job Overview · We are looking for an ambitious Director – Sales to lead our sales efforts in Bangalore. The ideal candidate will have a proven track record in B2B SaaS sales, excellent leadership skills, and a passion for driving business growth. · Key Responsibilities · Develop and execute sales strategies to achieve revenue targets. · Build and manage a high-performing sales team. · Identify and pursue new business opportunities in the region. · Establish strong relationships with key clients and stakeholders. · Collaborate with the marketing and product teams to align sales strategies with business objectives. · Negotiate contracts and close deals with enterprise clients. · Provide market insights and competitor analysis to enhance the sales approach. · Drive customer satisfaction and ensure long-term partnerships. · Requirements · 5+ years of experience in B2B SaaS sales or enterprise sales. · Proven experience in managing sales teams and meeting sales targets. · Strong network in the Bangalore region across industries like BFSI, Retail, and E-commerce. · Excellent communication, negotiation, and presentation skills. · Ability to thrive in a fast-paced, high-growth startup environment. · Experience in selling chatbot solutions or conversational AI products is a plus. What We Offer Competitive salary and performance-based incentives. Opportunity to work with cutting-edge conversational AI technology. Fast-track career growth in a rapidly growing company. Collaborative and dynamic work environment. Show more Show less

Project Role : BI Architect Project Role Description : Build and design scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. Create industry and function data models used to build reports and dashboards. Ensure the architecture and interface seamlessly integrates with Accentures Data and AI framework, meeting client needs. Must have skills : SAS Base & Macros Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a SAS BASE & MACROS, you will be responsible for building and designing scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. You will create industry and function data models used to build reports and dashboards, ensuring seamless integration with Accentures Data and AI framework to meet client needs. Roles & Responsibilities: 1.Data Engineer to lead or drive the migration of legacy SAS data preparation jobs to a modern Python-based data engineering framework. 2. Should have deep experience in both SAS and Python, strong knowledge of data transformation workflows, and a solid understanding of database systems and ETL best practices. 3.Should analyze existing SAS data preparation and data feed scripts and workflows to identify logic and dependencies. 4.Should translate and re-engineer SAS jobs into scalable, efficient Python-based data pipelines. 5.Collaborate with data analysts, scientists, and engineers to validate and test converted workflows. 6.Optimize performance of new Python workflows and ensure data quality and consistency. 7.Document migration processes, coding standards, and pipeline configurations. 8.Integrate new pipelines with google cloud platforms as required. 9.Provide guidance and support for testing, validation, and production deployment Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Base & Macros - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have 8+ years of exp with min 3 years of exp in SAS or python Data engineering Show more Show less

About We are looking for a highly motivated Generative AI & Machine Learning Specialist with a strong foundation in GenAI concepts, ML algorithms, and vector-based retrieval techniques. This position is in the AI sector and requires hands-on experience in building LLM-powered applications. Key Responsibilities Design and develop AI-powered solutions leveraging Generative AI and LLMs. Implement vector-based search and retrieval systems using vector databases. Develop and apply chunking strategies to optimize document ingestion and query accuracy. Work on prompt engineering techniques to enhance LLM interaction and performance. Utilize frameworks like LangChain to integrate LLMs into scalable applications. Ideal Profile Strong understanding of Generative AI, LLMs, and their practical applications. Knowledge of chunking strategies for text processing and LLM input optimization. Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate). Proficiency in machine learning algorithms and their application in real-world scenarios. Experience working on ML projects with defined goals and measurable outcomes. Excellent analytical and communication skills. Nice to Have Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. Publications or hands-on contributions in the field of GenAI or LLMs. Skills: GenAI,LangChain,LLM,LangGraph,FAISS,MCP,Agentic,Machine Learning,Classification,Regression,ScikitLearn Show more Show less

Role: Sr Data Scientist Experience level: 5 to 7 years Location: Chennai Who are we? Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission is to simplify the world’s choices. Our flagship platform, maya.ai , helps enterprises in Banking, Fintech, and Travel unlock the value of their data to create hyperpersonalized experiences and drive sustainable revenue streams. maya.ai is powered by four “as a Service” components – Data, Recommendation, Customer Experience, and Marketplace – that work in unison to deliver tangible business outcomes. Why Crayon? Why now? Crayon is transforming into an AI first company, and every Crayon (that’s what we call ourselves!) is undergoing a journey of upskilling and expanding their capabilities in the AI space. We're building an organization where AI is not a department—it’s a way of thinking. If you’re an engineer who’s passionate about building things, experimenting with models, and applying AI to solve real business problems, you’ll feel right at home in our AI squads. Our environment is designed to be a playground for AI practitioners, with access to meaningful data, real-world challenges, and the freedom to innovate. You won't just be writing models—you’ll be shaping Crayon’s future. Experience : 5+ years Industry : Banking, Financial Services, and AI Team : Data Science Job Overview We are seeking a Senior Data Scientist who thrives at the intersection of business and machine learning. In this role, you will develop and deploy data science models that directly drive outcomes for banking and financial institutions – from boosting sales and cross-sell opportunities to reducing attrition and churn. If you love solving real-world business problems using data and turning insights into action, this is the role for you. What You’ll Do Build and deploy machine learning and statistical models for key banking use cases: cross-sell, upsell, churn prediction, customer segmentation, lead scoring, etc. Work with large-scale structured and unstructured datasets to derive meaningful insights. Translate business problems into analytical solutions and guide clients through data-driven decision-making. Collaborate closely with product, engineering, and consulting teams to deliver production-ready models. Continuously monitor, tune, and improve model performance post-deployment. Mentor junior data scientists and contribute to internal knowledge sharing. Can you say “Yes, I have!” to the following? 5+ years of experience developing ML/AI solutions on large-scale datasets Strong academic background – B.E/B.Tech/MS in Machine Learning, Computer Science, Statistics, Applied Math, or related fields; PhD is a bonus Deep understanding of statistical models – hierarchical, stochastic, time series, survival, and econometric Expertise in at least one deep learning framework – PyTorch, TensorFlow, or MxNet Proficiency in Spark (Scala/PySpark) for large-scale data processing and designing scalable ML pipelines Experience contributing to open-source ML libraries or publishing research is a strong plus. Can you say “Yes, I will!” to the following? Innovate with AI-first thinking Champion scalable, production-grade ML solutions Collaborate across teams to deliver outcomes aligned with business value Stay curious, keep learning, and mentor junior team members Brownie points for: Alignment with The Crayon Box of Values – because while skills can be learned, values are who we are. Passion for building reusable ML components and internal tools Come play, build, and grow with us. # Let’s co-create the future of AI at Crayon . Show more Show less

Senior Data Scientist — Gen AI/ML Expert Location: Hybrid — Gurugram Company: Mechademy – Industrial Reliability & Predictive Analytics About Mechademy At Mechademy, we are redefining the future of reliability in rotating machinery with our flagship product, Turbomechanica . Built at the intersection of physics-based models, AI, and machine learning , Turbomechanica delivers prescriptive analytics that detect potential equipment issues before they escalate, maximizing uptime, extending asset life, and reducing operational risks for our industrial clients. The Role We are seeking a talented and driven Senior Data Scientist (AI/ML) with 3+ years of experience to join our AI team. You will play a critical role in building scalable ML pipelines, integrating cutting-edge language models, and developing autonomous agent-based systems that transform predictive maintenance is done for industrial equipment. This is a highly technical and hands-on role, with strong emphasis on real-world AI deployments — working directly with sensor data, time-series analytics, anomaly detection, distributed ML, and LLM-powered agentic workflows . What Makes This Role Unique Work on real-world industrial AI problems , combining physics-based models with modern ML/LLM systems. Collaborate with domain experts, engineers, and product leaders to directly impact critical industrial operations. Freedom to experiment with new tools, models, and techniques — with full ownership of your work. Help shape our technical roadmap as we scale our AI-first predictive analytics platform. Flexible hybrid work culture with high-impact visibility. Key Responsibilities Design & Develop ML Pipelines: Build scalable, production-grade ML pipelines for predictive maintenance, anomaly detection, and time-series analysis. Distributed Model Training: Leverage distributed computing frameworks (e.g. Ray, Dask, Spark, Horovod) for large-scale model training. LLM Integration & Optimization: Fine-tune, optimize, and deploy large language models (Llama, GPT, Mistral, Falcon, etc.) for applications like summarization, RAG (Retrieval-Augmented Generation), and knowledge extraction. Agent-Based AI Pipelines: Build intelligent multi-agent systems capable of reasoning, planning, and executing complex tasks via tool usage, memory, and coordination. End-to-End MLOps: Own the full ML lifecycle — from research, experimentation, deployment, monitoring to production optimization. Algorithm Development: Research, evaluate, and implement state-of-the-art ML/DL/statistical algorithms for real-world sensor data. Collaborative Development: Work closely with cross-functional teams including software engineers, domain experts, product managers, and leadership. Core Requirements 3+ years of professional experience in AI/ML, data science, or applied ML engineering. Strong hands-on experience with modern LLMs (Llama, GPT series, Mistral, Falcon, etc.), fine-tuning, prompt engineering, and RAG techniques. Familiarity with frameworks like LangChain, LlamaIndex , or equivalent for LLM application development. Practical experience in agentic AI pipelines : tool use, sequential reasoning, and multi-agent orchestration. Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and at least one deep learning framework (TensorFlow, PyTorch, or JAX). Exposure to distributed ML frameworks (Ray, Dask, Horovod, Spark ML, etc.). Experience with containerization and orchestration (Docker, Kubernetes). Strong problem-solving ability, ownership mindset, and ability to work in fast-paced startup environments. Excellent written and verbal communication skills. Bonus / Good to Have Experience with time-series data, sensor data processing, and anomaly detection. Familiarity with CI/CD pipelines and MLOps best practices. Knowledge of cloud deployment, real-time system optimization, and industrial data security standards. Prior open-source contributions or active GitHub projects. What We Offer Opportunity to work on cutting-edge technology transforming industrial AI. Direct ownership, autonomy, and visibility into product impact. Flexible hybrid work culture. Professional development budget and continuous learning opportunities. Collaborative, fast-moving, and growth-oriented team culture. Health benefits and performance-linked rewards. Potential for equity participation for high-impact contributors. Note: Title and compensation will be aligned with the candidate’s experience and potential impact. Show more Show less

About One Impression: One Impression is the leading marketplace connecting brands with top-tier creators, empowering authentic collaborations through advanced tools and seamless experiences. We are redefining influencer marketing and driving unmatched growth and innovation for brands globally. Role Overview: We’re looking for a dynamic, detail-oriented Performance Marketing Specialist to elevate our digital marketing initiatives. The ideal candidate is an expert at driving measurable results through Google and Meta ads, has robust experience crafting compelling landing pages, excels in leveraging AI for optimization, and has deep expertise in HubSpot integrations. Your analytical mindset, combined with a strong e-commerce background, a passion for product-led growth, and exceptional content creation skills, will directly impact One Impression’s market success. Key Responsibilities: Performance Marketing: Strategically plan, execute, and optimize high-impact campaigns on Google Ads, Facebook, and Instagram to drive customer acquisition, engagement, and revenue growth. Monitor, analyze, and report campaign performance metrics, using insights for continuous optimization. Landing Page Development: Create and optimize high-converting landing pages designed to capture leads, enhance user experience, and increase conversions. Utilize A/B testing and analytics to continuously refine messaging, layouts, and CTAs. AI Integration: Expertly employ AI-driven tools and technologies to automate, scale, and optimize marketing campaigns. Leverage predictive analytics to forecast campaign performance and identify strategic opportunities for growth. HubSpot Integration and Automation: Oversee comprehensive HubSpot integration for streamlined marketing automation, tracking, and reporting. Optimize CRM workflows and lead nurturing sequences to ensure seamless alignment between marketing and sales. Content Creation & Graphic Design: Develop engaging, high-quality content tailored for digital marketing campaigns across various platforms. Quickly produce visually compelling graphics and creatives to enhance campaign effectiveness and engagement. Product-Led Growth: Develop and execute strategic marketing plans aligned with One Impression’s product roadmap and user acquisition targets. Collaborate closely with product teams to inform growth-driven feature development and user onboarding processes. Analytics & Problem-Solving: Utilize advanced analytics tools to dissect marketing data, identify bottlenecks, and propose actionable solutions. Employ a proactive problem-solving approach to continually enhance campaign effectiveness and efficiency. Must Haves: Proven experience (3+ years) in performance marketing with demonstrable results in e-commerce or similar high-growth environments. Mastery of Google Ads, Facebook Business Manager, and Meta advertising platforms. Strong proficiency in creating conversion-focused landing pages (experience with Unbounce, Webflow, or similar platforms preferred). Advanced knowledge and practical experience with AI and automation tools. Hands-on expertise in HubSpot CRM and marketing automation. Exceptional content creation and graphic design skills (experience with Canva, Adobe Creative Suite, or similar platforms preferred). Exceptional analytical and problem-solving skills with meticulous attention to detail. Entrepreneurial mindset, self-driven, and highly collaborative. Show more Show less

The D. E. Shaw group is a global investment and technology development firm with more than $60 billion in investment capital as of March 1, 2024, and offices in North America, Europe, and Asia. Since our founding in 1988, our firm has earned an international reputation for successful investing based on innovation, careful risk management, and the quality and depth of our staff. We have a significant presence in the world’s capital markets, investing in a wide range of companies and financial instruments in both developed and developing economies. We are looking for an experienced engineer to join our GAITech team at our firm’s office in Hyderabad or Bengaluru. This role entails working as a part of a team that is focused on providing core AI infrastructure for the firm. The focus will be on improving areas including developer productivity, process efficiency, making DESCO data easy to use with LLMs, promoting generative AI for BU-specific adoption, etc. You will be expected to comprehend the technical requirements of diverse groups using AI, explore open-source tech options beneficial for us, and integrate the chosen tech within our teams to enhance efficiency and construct supportive systems. WHAT YOU'LL DO DAY-TO-DAY: In this position, you will work on overseeing the end-to-end development of generative AI tools and infrastructure. As an important part of the role, you will solve complex technical challenges, ensure project specifications are met efficiently, and facilitate the rapid learning and implementation of new technologies within the team. WHO WE’RE LOOKING FOR: Basic qualifications: A master’s or bachelor’s degree in computer science or a related technical field A minimum of 2 years of industry experience Experience in Python Exceptional problem-solving abilities and the capacity to acquire and apply new technologies quickly Excellent communication and people management skills Preferred qualifications: Experience or keen interest in the AI space Interested candidates can apply through our website: https://www.deshawindia.com/recruit/jobs/Adv/Link/SnrMemGAITechFeb25 We encourage candidates with relevant experience looking to restart their careers after a break to apply for this position. Learn about Recommence, our gender-neutral return-to-work initiative. The Firm offers excellent benefits, a casual, collegial working environment, and an attractive compensation package. For further information about our recruitment process, including how applicant data will be processed, please visit https://www.deshawindia.com/careers Members of the D. E. Shaw group do not discriminate in employment matters on the basis of sex, race, colour, caste, creed, religion, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. Show more Show less

About AiSensy AiSensy is a WhatsApp-based Marketing & Engagement platform built on Official WhatsApp Business APIs. We empower 100,000+ businesses and 7,000+ partners—including ISVs, resellers, and affiliates—to scale engagement and drive revenue with cutting-edge automation and communication solutions. Recognized as Meta's Emerging Partner of the Year 2023 and CTWA Partner of the Year 2024, AiSensy is one of India’s fastest-growing B2B SaaS startups. 100,000+ Businesses Onboarded ₹4000+ Crores Revenue Driven Trusted by India’s top D2C, eCommerce & enterprise brands About the Role We’re on the hunt for a strategic SEO Content Writer who can blend creative writing with sharp SEO instincts. You’ll own and evolve our blog and resources hub—crafting content that ranks on Google and converts with clarity. If you love turning technical insights into engaging stories and have a proven track record of SEO wins, we want you on board. Key Responsibilities Own the Blog & Resources Hub Plan, draft & publish high-quality blogs and web pages aligned with search intent and AiSensy’s brand voice. Deep Keyword & SERP Research Leverage tools like Ahrefs, Semrush, Google Analytics & GSC to build topic clusters and content briefs that compete for page 1 rankings. On-Page SEO Excellence Write compelling titles, meta descriptions, headers, CTAs, internal links, and structured schema markup that drive clicks and engagement. Performance Tracking & Iteration Monitor content KPIs—rankings, traffic, CTR, dwell time—and continuously optimize for growth. Collaborative Content Repurposing Work closely with product marketers, designers & video editors to transform content into infographics, YouTube Shorts, email snippets , and more. Content Experiments Run A/B tests on hooks, featured snippets, and Answer Engine Optimization (AEO) to win Position 0 and boost visibility. Must-Have Skills 2–4 years of hands-on SEO content writing experience 3–5 live examples of articles ranking on Page 1 for competitive keywords (please include URLs) Deep knowledge of E-E-A-T, topical authority , and entity-based SEO Flair for turning technical concepts into crisp, clear, and conversational content Experience working with multiple CMS platforms (we use UMSO and SwipePages ) Nice-to-Haves Familiarity with WhatsApp Business API , martech , or marketing automation platforms Hands-on experience with AI writing/editing tools like ChatGPT, Claude, Jasper, etc. What You’ll Get A front-row seat to WhatsApp’s fastest-growing SaaS startup Opportunity to work with Meta’s official global teams Competitive compensation + bonus potential A highly collaborative and innovation-driven work environment Creative freedom to test, experiment, and grow Show more Show less

Mind Crayon AI is a well-being community based in Gurugram dedicated to promoting mindfulness, improving mental health, and enhancing human consciousness. Our interdisciplinary team, including physicians, surgeons, data scientists, engineers, and designers, leverages AI and health to transform mental healthcare. Our mission is to make the world a better place to live mindfully and create a positive impact on individuals and society. Role Description This is an on-site internship role for a Social Media Creator & Writer at Mind Crayon AI located in Gurugram. The intern will be responsible for creating social media content, implementing social media marketing strategies, engaging in digital marketing activities, and collaborating on marketing campaigns to promote mindfulness and mental health awareness. Qualifications Web Content Writing and Social Media skills Experience in content strategy, research, writing, and proofreading Strong creativity and a passion for mental health and well-being Candidates should be based out of Gurugram or radius of 15 Kms, otherwise don't apply for this Ability to work collaboratively in a diverse team Strong communication and organizational skills Open to show your face in reels/videos Previous experience in mental health or related fields is a plus Bachelor's degree in English, Journalism, Communications, or related field Bachelor's degree in a relevant field (e.g., Psychology, Science, Communications) This is a paid internship, so only well experienced candidates are favourable Show more Show less

Job Description Design, implement, and maintain CI/CD pipelines for multi-service deployments Manage container orchestration using Azure Kubernetes Service (AKS), including Helm charts, service meshes, and ingress routing. Provision and maintain infrastructure using Terraform or Bicep, enforcing modular and version-controlled architecture. Ensure infrastructure cost optimization and security best practices. Experience deploying Lang Chain, LLM agents, or Open AI integrations. Strong hands-on experience with Azure Cloud – especially AKS, App Gateway, VNETs, and Private Endpoints. Skills Required RoleAssistant Manager- Azure Dev ops engineer- Bangalore Industry TypeITES/BPO/KPO Functional AreaITES/BPO/Customer Service Required Education Bachelors degree Employment TypeFull Time, Permanent Key Skills AZURE DEVOPS ENGINEER Other Information Job CodeGO/JC/294/2025 Recruiter NameRamya V Show more Show less

Description Position at Wind River Senior Engineering Manager Job Description – Wind River In a world increasingly driven by software innovation, Wind River is pioneering the technologies to accelerate the digital transformation of our customers with a new generation of Mission Critical AI Systems in an AI-first world with the most exacting standards for safety, security, performance, and reliability. Success will be determined by our ability to innovate with velocity and sell at the solutions level. Location: Bangalore/Chennai About The Opportunity Wind River Systems is seeking an experienced high-performing Senior Manager - Engineering - for a position developing the industry’s most advanced embedded development platform. The successful candidate will report to the Director Engineering, to build and lead a highly skilled development team delivering the Wind River HVP and Work Bench product and related tooling, pioneering many new industry leading capabilities. The right candidate will possess proven software engineering skills, and the ability to manage as part of a large product team. You are expected to be versatile and able to thrive in a dynamic environment. You are comfortable managing competing priorities and can bring order to ambiguous scenarios. Responsibilities Managing highly skill teams of engineers including career planning, goal setting, performance assessment, performance improvement, compensation, conflict resolution, and other people management tasks. Contributing to ongoing releases and roadmap of Wind River HVP Platform Work in the Agile environment, sprint planning and coordination across scrum teams. Must contribute technically to Software design for flexible, extendable architecture. Process development and implementation for the direct team and department. Interfacing various other parts of the company such as Test team, Architect team, Engineering Operations, and Product Management to ensure delivery as per customer expectation. Core Competencies & Demonstrated Success Development engineering management skills as demonstrated by experience in planning and leading multiple engineering projects using modern project management techniques, including Agile/Scrum; building and motivating highly performing development teams to accomplish progressively aggressive goals; instill vision and direction clearly and create atmosphere of proactive ownership in team members; and superior skills in diagnosing and solving typical development issues. Personal skills such as time planning and organization; nimbleness; verbal and written communications to a wide variety of audiences; effectiveness as a team member; enthusiastic leadership; personal drive, energy, resourcefulness, and perseverance; integrity; adaptability to new and uncertain environments; a desire to improve practices and processes; and enthusiastic leadership. The ability to be an effective member of a team of managers includes a drive to accomplish the collective goals of the team; the ability to fairly and effectively negotiate; and an attitude that puts the good of the team ahead of one's individual needs when required. Experience in people management includes career planning; performance assessments; performance improvement; mentoring and helping people grow; compensation; and general care of development engineers. Successful track record of prioritizing and quickly responding to urgent customer needs and adjusting other engineering work to accommodate. Ability to interact with partners and customer counterparts when required. Qualifications And Technical Skill Bachelor or master’s degree in CS/EE or related areas. Java programming knowledge is a must. Good to have C/C++ programming experience. Working on Knowledge on Eclipse IDE platform. Skills in complex software architecture/design. Good to have knowledge of Embedded System Design with Device Driver and Board Support package Good Reading/Writing/Oral English communication skills Benefits Workplace Flexibility: Hybrid Work. Medical insurance: Group Medical Insurance coverage. Additional shared cost medical benefit in the form of reimbursements. Employee Assistance Program. Vacation and Time off: Employees are eligible for various types of paid time off. Additional Time off’s – Birthday, Volunteer Time off, Wedding. Wellness Benefits through Unmind Carrot (Family -forming support) Show more Show less

Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it’s really our people who give us passion to always seek ways to do things better. As such, we’re serious about your career growth and professional development, because People matter at Kinaxis. In 1984, we started out as a team of three engineers based in Ottawa, Canada. Today, we have grown to become a global organization with over 2000 employees around the world, and support 40,000+ users in over 100 countries. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries. We are expanding our team in Chennai and around the world as we continue to innovate and revolutionize how we support our customers. Our journey in India began in 2020 and we have been growing steadily since then! Building a high-trust and high-performance culture is important to us and we are proud to be Great Place to Work® CertifiedTM. Our state-of-the-art office, located in the World Trade Centre in Chennai, offers our growing team space for expansion and collaboration. Location India, Remote. As a member of our Consulting Team, you understand our customers’ most pressing business performance challenges and you are committed to helping our customers solve complex challenges in the distributed value chain that is prevalent in manufacturing today. What you will do Participate in deep-dive customer business requirements discovery sessions and develop requirements specifications documentation. Support Solution Architect in providing creative solutions to complex business problems while maintaining best practices. Guide and mentor junior consultants on the project team during project. Learn Maestro software and perform solution configuration. Perform training of customer end users on the configured solution. Understand supply chain industry trends and benchmark customer against the same. Ensure the customer is obtaining the business benefits as captured in the business case. Support the validation and testing of the solution and capture user feedback. Support data management and data integration related activities. Any other reasonable project related tasks as assigned by the Project Manager. Technologies we use Excellent problem solving and critical thinking skills. Technical skills such as SQL, R, Java Script, Python, etc. Experience with manufacturing planning solutions such as Kinaxis, SAP, JDA, etc What we are looking for A passion for working in customer facing roles and you have great interpersonal, communication, facilitation and presentation skills. 8 -12 years of relevant experience in manufacturing, production planning, demand management industry role and business software consulting role. BS/MS/PhD in Industrial Engineering, Supply Chain, Operations Research, Computer Science, Statistics or a related field with an excellent academic record. Good background in Supply Chain engineering concepts and understanding of statistical forecasting, inventory management, MRP, scheduling, etc. Ability to learn a new application – Maestro. Self-direction with ability to excel in a fast paced work environment. Work well in a team environment and have the ability to work effectively with people at all levels in an organization. Open to travel 75% on average and 100% occasionally and also can work effectively when working remotely from the client. Ability to communicate complex ideas effectively in English, both verbally and in writing. #Intermediate #Senior Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more. Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Ford, Unilever, Yamaha, P&G, Lockheed-Martin, and more. Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact. People matter at Kinaxis and these are some of the perks and benefits we created for our team: Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month) Flexible work options Physical and mental well-being programs Regularly scheduled virtual fitness classes Mentorship programs and training and career development Recognition programs and referral rewards Hackathons For more information, visit the Kinaxis web site at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com . Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at recruitmentprograms@kinaxis.com . This contact information is for accessibility requests only and cannot be used to inquire about the status of applications. Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions Show more Show less

About Company: Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters. Job Title: Python ETL Tester Location: Chennai,Coimbatore,Bangalore,Hyderabad,Pune Experience: 6+ years Job Type : Contract to hire. Notice Period: Immediate joiners. Mandatory Skills: Experience in Python Automation, SQL and ETL testing. Job Description: 6 to 9 years of experience in Python Automation, SQL and ETL testing. Experience in Test Automation, defect reporting and tracking. Show more Show less