4019 Fastapi Jobs - Page 17

Job Description Were looking for a Full Stack Developer to join our R&D team and play a pivotal role in building our next-generation enterprise analytics product. You'll collaborate closely with a world-class team of business consultants and engineers to tackle complex challenges using advanced data and analytics technologies. If you're passionate about delivering high-impact software in an agile environment and thrive on solving real-world problems, we want to hear from you. Your Responsibilities Design, develop, and maintain scalable web applications using modern full stack technologies. Ensure the quality and performance of applications through automated testing and CI/CD pipelines. Participate actively in agile ceremonies (scrum, sprint planning, retrospectives). Write clean, maintainable, and efficient code while following best practices and standards. Collaborate with cross-functional teams, mentoring junior developers and contributing to architectural decisions. Drive solutions from idea to production, balancing speed with code quality and scalability. Continuously explore and integrate new technologies and development practices. Technical Skills & Experience Required 3+ yeras of Experience working as a fullstack Developer. Backend Proficiency in at least one backend language : Node.js, Python, Go, Java, C#, or others. Frameworks such as Express, Spring Boot, .NET Core, FastAPI, etc. API-first development using REST or GraphQL. Experience with both SQL (PostgreSQL, SQL Server, MySQL) and NoSQL (MongoDB, DynamoDB) databases. Exposure to event-driven architectures, message brokers (Kafka, RabbitMQ), or serverless backends. Frontend Hands-on experience with JavaScript-based SPAs using Vue.js, React, or Angular. Solid understanding of HTML, CSS, SCSS, and responsive design principles. Ability to translate. About Us Were an international team who specialize in building technology products & then helping brands grow with multi-channel demand generation marketing. We have in-house experience working for Fortune companies, e-commerce brands, technology SaaS companies. We have assisted over a dozen billion dollar companies with consulting, technology, operations, and digital agency capabilities in managing their unique brand online. We have a fun and friendly work culture that also encourages employees personally and professionally. EbizON has many values that are important to our success as a company : integrity, creativity, innovation, mindfulness and teamwork. We thrive on the idea of making life better for people by providing them with peace of mind. The people here love what they do because everyone from management all way down understands how much it means living up close-to someones' ideals which allows every day feel less stressful knowing each person has somebody cheering him. Equal Opportunity Employer EbizON is committed to providing equal opportunity for all employees, and we will consider any qualified applicant without regard to race or other prohibited characteristics. Flexible Timings Flexible working hours are the new normal. We at EbizON believe giving employees freedom to choose when to work, how to work. It helps them thrive and also balance their life better. Global Clients Exposure Our goal is to provide excellent customer service and we want our employees to work closely with clients from around the world. That's why you'll find us working closely with clients from around the world through Microsoft Teams, Zoom and other video conferencing tools. Retreats & Celebrations With annual retreats, quarterly town halls and festive celebrations we have a lot of opportunities to get together. (ref:hirist.tech)

Skills: React.js, REST APIs, Python, Redux, SQL, Node.js, Django, Job Title: Full Stack Developer (React.js + Python) Location: Baner, Pune Company: Muks Robotics AI Pvt. Ltd. Employment Type: Full-Time About Us Muks Robotics AI Pvt. Ltd. is an innovation-driven company at the forefront of robotics and artificial intelligence. We are building intelligent automation systems that redefine industry standards and deliver real-time smart solutions. Role Overview We are seeking a Full Stack Developer with hands-on experience in modern frontend development (React.js) and strong proficiency in backend technologies including Python . The ideal candidate will work on real-time systems involving UI interfaces, image/video pipelines, backend services, and data integration to support intelligent robotics applications. Key Responsibilities Design and develop responsive, component-driven web interfaces using React.js Build and maintain backend services using Python (FastAPI / Flask) or Node.js, depending on the application layer Integrate frontend UIs with real-time vision systems, robotic APIs, and database backends Collaborate with robotics and embedded teams for seamless full-system integration Manage and optimize databases using MongoDB and PostgreSQL Develop, test, and maintain reusable code for both frontend and backend Work on both browser-based and desktop UIs as needed (e.g., using PyQt5 or Electron) Follow modular design, clean architecture, and DevOps best practices Required Skills Frontend: React.js, HTML5, CSS3, JavaScript/TypeScript Backend: Python (Flask, FastAPI preferred), optionally Node.js Desktop GUI (optional): PyQt5 or Electron.js Databases: MongoDB (NoSQL), PostgreSQL (SQL) Computer Vision Integration: Basic understanding of OpenCV (preferred) Experience working with APIs (RESTful, WebSocket) and asynchronous data flows Familiarity with version control (Git), CI/CD workflows, and Docker environments Strong problem-solving, debugging, and documentation skills Preferred Qualifications Bachelors degree in Computer Science, Engineering, or related field Experience in robotics, automation, or IoT systems is a plus Familiarity with real-time systems, hardware communication, or vision modules Exposure to cloud platforms (AWS/GCP), message queues, or containerization

Pebbling AI 🚀 We orchestrate agents, systems, and data anywhere. Imagine a world where every system, service, and application can work together intelligently that discovering capabilities, coordinating workflows, and executing complex tasks across any boundary. We're making that reality. Our platform handles workflow orchestration, trust and identity, federated discovery, and secure communication. Together, these components create the coordination backbone that enterprises need to unlock the full potential of intelligent systems laying the foundation for the internet of agents. What you'll build: You'll work across our entire platform stack, building the backend systems that power agent coordination at enterprise scale. Secure infrastructure: Authentication, identity, and trust systems - thats our DNA. Orchestration services : Backend APIs and workflow coordination engines. Communication protocols: Messaging, data exchange, and transactions between distributed systems. Discovery systems: Service registries and metadata management. High-performance architecture: Scalable systems handling complex distributed workloads What we need: 1-5 years backend engineering experience with production systems. Strong Development skills (FastAPI, async/await, type hints) - python and rust preferred. Security experience: Auth, encryption, or secure APIs. Database expertise: PostgreSQL, schema design, performance optimisation. Infrastructure knowledge : Docker, CI/CD, monitoring, and observability. Bonus: Experience with distributed systems, message queues, MCP or agent frameworks Why join us: Build the future. Your code will power the next generation of internet. Early team member – Work directly with founders, shape the company. Build it and proud of it. Build core systems – Work on the foundational infrastructure that everything else depends on. Solve hard problems – Real challenges that no one else is tackling. Location: Remote (India) Level: SW2 (1-5 years experience) Compensation: Competitive salary with ESOP Start: Immediate NO BAR ON COLLEGE AND DEGREE, WE VALUE SKILLS NOT CERTIFICATES. Must Important: We value a fast startup culture and creative hacking mindset. CVs are great, but make sure to send us your GitHub, look at our GitHub project, and tell us why you want to build with us. Star ⭐ the Pebbling project on GitHub and find out how you can contribute: https://github.com/Pebbling-ai/pebble Ready to build the future of AI? Let's Pebble! 🚀 Looking forward!!!

Job Description: AI/ML Engineer Key Responsibilities · Design, develop, and deploy deep learning and machine learning models, particularly convolutional neural networks (CNNs) for medical image analysis. · Build scalable and efficient training and inference pipelines using frameworks like TensorFlow and PyTorch. · Manage and deploy DL/ML solutions using local virtual machines (VMs); experience with cloud platforms like AWS and Azure is a plus. · Containerize DL/ML workflows using Docker and implement CI/CD pipelines for model delivery. · Optimize models for accuracy and speed; conduct A/B testing and validation with real-world radiology data. · Collaborate with radiologists and software teams to integrate AI models into teleradiology platforms. · Develop and maintain API integrations, including FastAPI-based services and interoperability with legacy systems. · Monitor and maintain deployed models to ensure consistent performance in clinical environments. Requirements Must-Have Skills · Proficient in Deep Learning and Machine Learning techniques. · Strong experience with TensorFlow and PyTorch. · Solid background in image processing and computer vision, especially with CNN architectures. · Proficiency with Docker and experience with CI/CD pipelines. · Excellent programming skills in Python and experience with relevant ML libraries. · Understanding of data pipelines and handling large-scale medical imaging datasets. Nice to Have · Experience deploying ML models on cloud platforms such as AWS and Azure. · Experience with Kubernetes or orchestration frameworks. · Familiarity with MLOps tools and workflows. · Experience with distributed training or federated learning. · Contributions to healthcare AI research or open-source projects. Education & Experience · Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Data Science, or related field. · 1+ years of experience building and deploying machine learning solutions in production, preferably in a healthcare or radiology setting. Why Join Us? · Opportunity to work on transformative AI applications in healthcare and radiology. · Collaborative and mission-driven team environment. · Access to advanced medical imaging datasets. Interested can apply to nanda.k@telradsol.com

Experience Required: 2.8+ years of experience any one backend language (e.g., Python, Node.js, Java, etc.) Ideal Candidate Profile: Hands-on knowledge of any one backend language (e.g., Python, Node.js, Java, etc.) Familiarity with HTML, CSS, and JavaScript Basic understanding of REST APIs and databases Willingness to learn full stack technologies like React.js and FastAPI Eagerness to work on live industry projects Strong problem-solving mindset and commitment to complete the program Key Technologies You Will Learn: Frontend : HTML5, CSS3, JavaScript (ES6+), React.js, Tailwind CSS, Bootstrap Backend : Python, FastAPI, RESTful API design Database : MongoDB, MySQL/PostgreSQL Tools : Git, GitHub, Postman, Docker basics, AWS (intro) Capstone Projects : End-to-end full stack applications

Experience Required: 3+ years of experience any one backend language (e.g., Python, Node.js, Java, etc.) Preferred Background: BE/BTech/MCA Ideal Candidate Profile: Hands-on knowledge of any one backend language (e.g., Python, Node.js, Java, etc.) Familiarity with HTML, CSS, and JavaScript Basic understanding of REST APIs and databases Willingness to learn full stack technologies like React.js and FastAPI Eagerness to work on live industry projects Strong problem-solving mindset and commitment to complete the program Open to placement based on performance and client requirements Key Technologies You Will Learn: Frontend : HTML5, CSS3, JavaScript (ES6+), React.js, Tailwind CSS, Bootstrap Backend : Python, FastAPI, RESTful API design Database : MongoDB, MySQL/PostgreSQL Tools : Git, GitHub, Postman, Docker basics, AWS (intro) Capstone Projects : End-to-end full stack applications Job Type: Full-time Pay: ₹377,509.56 - ₹1,640,802.42 per year Benefits: Health insurance Provident Fund Location Type: In-person Experience: Python: 3 years (Required) Work Location: In person

Experience : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

Experience : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

✅ Location: Bharatpur (On-Site) ✅ Job Type: Full-Time ✅ Experience: 1–2 Years ✅ Salary: ₹25,000 – ₹35,000/month (based on skills & experience) ✅Job Description: We are looking for a passionate and skilled Python Developer with experience in Machine Learning (ML) and Large Language Models (LLMs) to join our on-site team in Bharatpur . You'll be responsible for developing intelligent tools and solutions using open-source ML/NLP frameworks. ✅Key Responsibilities: Build and deploy ML/LLM-based solutions using Python Work on NLP tasks such as text classification, summarization, and chatbot development Integrate and fine-tune pre-trained LLMs (Hugging Face, OpenAI, etc.) Use libraries like Transformers, LangChain, scikit-learn, or TensorFlow Handle data collection, cleaning, vectorization, and embeddings Create APIs using Flask or FastAPI for ML model deployment Collaborate with the product and engineering teams for real-world use cases ✅ Required Skills: 1–2 years of hands-on experience in Python and ML/NLP Knowledge of LLM frameworks like Hugging Face, LangChain, or OpenAI Experience with vector databases like FAISS or Pinecone (preferred) Familiarity with Transformers, embeddings, tokenization Understanding of REST APIs and integration Good problem-solving and debugging skills ✅Good to Have: Experience with chatbot frameworks or RAG pipelines Exposure to tools like Gradio, Streamlit for UI prototyping Version control using Git Docker/basic deployment skills ✅What We Offer: Competitive salary with performance-based growth Opportunity to work on innovative AI projects locally Learning-focused culture and skill development Supportive and collaborative work environment 5-day work week (Mon–Fri) If you're excited about AI, Python, and real-world ML applications — apply now and join our team in Bharatpur! Job Types: Full-time, Permanent Pay: From ₹20,347.73 per month Benefits: Cell phone reimbursement Health insurance Internet reimbursement Life insurance Paid sick time Provident Fund Location: Bharatpur, Rajasthan (Required) Work Location: In person

Experience : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

Experience : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

Experience : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

Experience : 4.00 + years Salary : INR 4000000-5000000 / 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: Customer-Centric Approach, NumPy, OpenCV, PIL, PyTorch Crop.Photo is Looking for: Our engineers don’t just write code. They frame product logic, shape UX behavior, and ship features. No PMs handing down tickets. No design handoffs. If you think like an owner and love combining deep ML logic with hard product edges — this role is for you. You’ll be working on systems focused on the transformation and generation of millions of visual assets for small-to-large enterprises at scale. What You’ll Do Build and own AI-backed features end to end, from ideation to production — including layout logic, smart cropping, visual enhancement, out-painting and GenAI workflows for background fills Design scalable APIs that wrap vision models like BiRefNet, YOLOv8, Grounding DINO, SAM, CLIP, ControlNet, etc., into batch and real-time pipelines. Write production-grade Python code to manipulate and transform image data using NumPy, OpenCV (cv2), PIL, and PyTorch. Handle pixel-level transformations — from custom masks and color space conversions to geometric warps and contour ops — with speed and precision. Integrate your models into our production web app (AWS based Python/Java backend) and optimize them for latency, memory, and throughput Frame problems when specs are vague — you’ll help define what “good” looks like, and then build it Collaborate with product, UX, and other engineers without relying on formal handoffs — you own your domain What You’ll Need 2–3 years of hands-on experience with vision and image generation models such as YOLO, Grounding DINO, SAM, CLIP, Stable Diffusion, VITON, or TryOnGAN — including experience with inpainting and outpainting workflows using Stable Diffusion pipelines (e.g., Diffusers, InvokeAI, or custom-built solutions) Strong hands-on knowledge of NumPy, OpenCV, PIL, PyTorch, and image visualization/debugging techniques. 1–2 years of experience working with popular LLM APIs such as OpenAI, Anthropic, Gemini and how to compose multi-modal pipelines Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. Experience solving real-world visual problems like object detection, segmentation, composition, or enhancement. Ability to debug and diagnose visual output errors — e.g., weird segmentation artifacts, off-center crops, broken masks. Deep understanding of image processing in Python: array slicing, color formats, augmentation, geometric transforms, contour detection, etc. Experience building and deploying FastAPI services and containerizing them with Docker for AWS-based infra (ECS, EC2/GPU, Lambda). Solid grasp of production model integration — model loading, GPU/CPU optimization, async inference, caching, and batch processing. 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 Who You Are You’ve built systems — not just prototypes You care about both ML results and the system’s behavior in production You’re comfortable taking a rough business goal and shaping the technical path to get there You’re energized by product-focused AI work — things that users feel and rely on You’ve worked in or want to work in a startup-grade environment: messy, fast, and impactful 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!

Company Description SOS 42 is a personal assistant for students. Built on top of state-of-the-art language learning models (LLMs), it offers AI agents and roadmaps to ease daily routines and excel in life. Tailored to match user's personality and trained on the latest data, SOS 42 serves as a personal companion for all adulting needs. Join us to be part of an innovative product that transforms everyday living one student at a time. Role Description This is a full-time remote role for an AI Engineer - Intern. The AI Engineer - Intern will be responsible for backend development tasks and collaborate with the dev team to integrate and build AI solutions. Qualifications Hands-on experience in FastAPI, RESTful APIs and devops Familiarity with state-of-the-art AI technologies - generative AI, voice and RAG Background in Computer Science and proof-of-work of past AI projects Strong analytical and problem-solving abilities Currently a pre-final or final year student Ability to work independently and remotely This is a paid internship. Please apply only if you meet the above expectations.

Career Lab Consulting Pvt. Ltd. (CLC) is hiring a Senior Agentic AI Developer to architect and build the world’s first autonomous AI-powered marketing system — replacing an entire marketing department using a multi-agent system. This is a zero-to-one leadership role with massive ownership and deep-tech innovation at its core. Position : Senior Agentic AI Developer Location : Remote (India Preferred | Hybrid Optional) Type : Full-Time | High Ownership Role CTC : ₹12–15 LPA (Fixed) + Performance Bonuses Apply : hr@careerlabconsulting.com WhatsApp HR Mamta: +91-8700827753 Your Mission You will single-handedly design and deploy a cost-efficient, tool-lite, fully autonomous Agentic AI system to run the marketing ops of InternX–AI — India’s flagship Agentic AI Career Accelerator. You’ll lead architecture, development, scaling, and mentor interns , enabling the system to operate without human intervention across: Content Creation CRM & Email Campaigns Paid Ads Management SEO Workflows Social Media Posting Lead Nurturing Analytics & Reporting What You`ll Build (in 90-120 Days) Multi-agent architecture with self-healing, planning, and memory Lightweight, cost-optimized stack (OSS > SaaS) End-to-end autonomous marketing workflows Trained an intern team to support and scale the AI system Interactive dashboards for business teams to control & review outputs Tech Stack You`ll Work • Python (async, FastAPI, LangGraph) • LLMs (OpenAI, Claude, LLaMA, Mistral, etc.) • Agent Frameworks (LangGraph, CrewAI, CAMEL, OpenAgents) • RAG + Vector DBs (FAISS, Chroma, Weaviate) • Prompt chaining, memory modules, toolformer logic • DevOps: Docker, Git, CI/CD • Web scraping, headless browsers, API agents Who We are looking For Zero-to-One Builder : You love uncharted territory Agentic Thinker : Not just prompt engineering — full autonomy loops Intern Mentor : You’re a leader who uplifts junior talent Cost Hacker : You always think ROI, not just API Future CTO DNA : You're thinking 3 years ahead, not 3 weeks Additional Skills • Agent simulations (AutoGPT/CAMEL-style dialogue agents) • Custom vector memory systems • RLHF or small model fine-tuning • Agentic learning from feedback loops Mentorship Duties You’ll lead and upskill a small batch of interns across: • LLM workflows and prompt chains • Python automation and agent-based systems • AI design logic for scalable execution • Real-time marketing agent delivery What You`ll Get Remote-first freedom with async flexibility Ownership of the first-of-its-kind Agentic AI platform Exposure to InternX–AI: India's flagship AI career tech brand Intern + DevOps support to let you focus on building Outcome-oriented culture with innovation at the core How to Apply Send us: • Your resume (or LinkedIn profile link) • GitHub/code samples or project write-ups (Notion-style preferred) • A short note: "An autonomous AI system you've built or want to build" Email: hr@careerlabconsulting.com WhatsApp HR Mamta: +91-8700827753 Subject Line: Senior Agentic AI Developer – Marketing Autopilot Project Not A Traditional Role This is not prompt engineering. This is not marketing automation. This is autonomous business execution — built from scratch. if you're ready to build the future, join us.

Company Description YoCharge is the Electric Vehicle Charging & Energy Management SaaS startup assisting Charge Point Operators to launch, operate, and scale their EV charging business efficiently. The startup is offering SaaS in more than 20 countries & looking for energetic team members to build a global product in EV & Energy domain. Role Description This is a full-time on-site role for Backend Engineer (SDE-I) at YoCharge located in Udaipur. You will be responsible for scaling YoCharge's back-end platform & services for enabling smart charging for electric vehicles. Qualifications Bachelor's degree in Computer Science or related field. Proven experience as a Backend Developer or similar role. Experience in Python with Django, FastAPI frameworks. Prior experience of scaling a product is an advantage. Knowledge of database systems (SQL and NoSQL) and ORM frameworks. Experience with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with deployment pipelines, CI/CD, and DevOps practices. Experience with micro-services architecture and asynchronous programming. Proficiency in designing and developing RESTful APIs. Understanding of systems architecture, design and development for scale. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack). Excellent communication and teamwork abilities. Ability to work in a fast-paced environment and meet deadlines. Experience 1-2+ Years. Instant Matches Fondness for Electric Vehicles & Energy. Love for building Product Excitement to work in a Startup

Job Title: AI Full stack Architect Location: Mumbai Reports to: Head of Engineering About the Role: As a Staff Software Engineer and our Full Stack Tech Lead, you will be the cornerstone of our engineering team, taking ownership of the technical direction and execution of our user-facing applications. This is a role for a "founding engineer" type who thrives in a startup environment and is passionate about building exceptional products from the ground up. You will have a direct and significant impact on our application's architecture, working with a modern tech stack to build scalable, high-quality systems. You'll collaborate closely with product, design, and other engineers to deliver cutting-edge solutions, all while championing technical excellence and mentoring your peers. This role is ideal for a senior individual contributor with technical depth similar to a Head of Engineering but without the formal people management responsibilities. Responsibilities: ● Frontend Architecture & Leadership: Lead the design and architecture of our frontend solutions, making key technology decisions to ensure they are scalable, performant, and maintainable. Own the frontend roadmap and technical vision. ● Full-Stack Development: Develop and maintain robust RESTful APIs using FastAPI (Python), integrating with Postgres databases. Drive the implementation of user-facing features using ReactJS, TypeScript, ViteJS, and React Query. ● Cloud Infrastructure & DevOps: Manage, deploy, and optimize cloud infrastructure on AWS (e.g., Lightsail, RDS, S3) using Infrastructure as Code principles with Terraform. ● Code Quality & Mentorship: Champion software engineering best practices by writing clean, maintainable code, conducting insightful code reviews, and actively mentoring other engineers to elevate the team's skills. ● Strategic Collaboration: Work as a strategic partner with cross-functional teams (Product, Design) to translate product vision into technical reality, leading technical discussions and driving decisions. ● Performance & Scalability: Proactively identify and address performance bottlenecks at both the application and infrastructure levels, ensuring our systems are responsive and well-observed. ● Cultural Contribution: Embrace and champion company’s values of S.C.R.I.P.T.ful (Supportive, Constructive, Respectful, Inspiring, Positive, Trustful) to contribute to a positive and high-impact work environment. Qualifications: ● 10+ years of software engineering experience with a demonstrable track record of building and scaling complex, user-centric web applications. ● Deep expertise in modern frontend architecture and technologies, including ReactJS, TypeScript, and related frameworks (e.g., React Query, ViteJS). ● Strong backend development experience, preferably with Python (FastAPI) and relational databases like Postgres. ● Proven experience in a "founding engineer" or early-stage startup role, demonstrating a strong sense of ownership, an entrepreneurial mindset, and the ability to navigate ambiguity. ● Hands-on experience with cloud platforms (AWS preferred) and Infrastructure as Code tools like Terraform. ● A strong understanding of RESTful API design, system architecture, and CI/CD best practices. ● Excellent communication and leadership skills, with a natural ability to mentor others and collaborate effectively with both technical and non-technical stakeholders. ● A genuine passion for technology, a desire to solve complex problems, and a commitment to continuous learning and improvement. ● Alignment with Company's mission, vision, and values. Why Join us? · Work on cutting-edge technologies and challenging projects. · Collaborate with a team of talented and passionate professionals. · Enjoy excellent career growth opportunities and skill development. · Competitive salary and benefits package. · A vibrant and inclusive workplace culture. How to Apply? If you are passionate about software development and meet the qualifications listed above, we would love to hear from you. Please submit your resume at careers@kognitoai.com along with a cover letter detailing your experience and why you would be a great fit for this position. Company Overview Our company https://www.kognitoai.com is a AI first startup in innovative technology solutions, committed to delivering high-quality products and services to our clients. Our founders bring wealth of industry experience to enable growth. We value creativity, collaboration, and a drive for excellence. Join our team and be a part of a forward-thinking organization where your contributions make a difference. We look forward to your application and the possibility of welcoming you to our talented and dedicated team.

We’re seeking a talented and driven Backend Developer to join our team and play a key role in building innovative solutions at the intersection of Generative AI and data-centric applications. You’ll work on high-impact projects leveraging cutting-edge technologies, modern backend frameworks, and scalable architectures. Key Responsibilities: Design, develop, and maintain robust backend systems with a focus on scalability and performance Implement RESTful and WebSocket APIs using FastAPI Work with GenAI frameworks and build intelligent workflows, including RAG and multi-agent systems Collaborate with cross-functional teams to integrate and optimize data pipelines and services Key Skills & Technologies Programming & Frameworks Proficient in Python, with hands-on experience using FastAPI for backend development Skilled in Pandas for data manipulation and analysis Practical experience with LangChain or LlamaIndex Familiarity with building and optimizing RAG pipelines and multi-agent AI workflows Databases Strong working knowledge of PostgreSQL and MongoDB Experience with Redis for caching and state management Messaging & Streaming Proficient in Kafka and/or RabbitMQ for building event-driven systems Cloud & DevOps Experience deploying and managing applications on AWS or Azure Familiarity with cloud-native architectures and services Nice to Have Exposure to containerization technologies like Docker and Kubernetes Understanding of CI/CD pipelines and DevOps tooling

Applied Machine Learning Scientist – Voice AI, NLP & GenAI Applications Location : Sector 63, Gurugram, Haryana – 100% In-Office Working Days : Monday to Friday, with 2nd and 4th Saturdays off Working Hours : 10:30 AM – 8:00 PM Experience : 3–7 years in applied ML, with at least 2 years focused on voice, NLP, or GenAI deployments Function : AI/ML Research & Engineering | Conversational Intelligence | Real-time Model Deployment Apply : careers@darwix.ai Subject Line : “Application – Applied ML Scientist – [Your Name]” About Darwix AI Darwix AI is a GenAI-powered platform transforming how enterprise sales, support, and credit teams engage with customers. Our proprietary AI stack ingests data across calls, chat, email, and CCTV streams to generate: Real-time nudges for agents and reps Conversational analytics and scoring to drive performance CCTV-based behavior insights to boost in-store conversion We’re live across leading enterprises in India and MENA, including IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar , and others. We’re backed by top-tier operators and venture investors and scaling rapidly across multiple verticals and geographies. Role Overview We are looking for a hands-on, impact-driven Applied Machine Learning Scientist to build, optimize, and productionize AI models across ASR, NLP, and LLM-driven intelligence layers . This is a core role in our AI/ML team where you’ll be responsible for building the foundational ML capabilities that drive our real-time sales intelligence platform. You will work on large-scale multilingual voice-to-text pipelines, transformer-based intent detection, and retrieval-augmented generation systems used in live enterprise deployments. Key ResponsibilitiesVoice-to-Text (ASR) Engineering Deploy and fine-tune ASR models such as WhisperX, wav2vec 2.0, or DeepSpeech for Indian and GCC languages Integrate diarization and punctuation recovery pipelines Benchmark and improve transcription accuracy across noisy call environments Optimize ASR latency for real-time and batch processing modes NLP & Conversational Intelligence Train and deploy NLP models for sentence classification, intent tagging, sentiment, emotion, and behavioral scoring Build call scoring logic aligned to domain-specific taxonomies (sales pitch, empathy, CTA, etc.) Fine-tune transformers (BERT, RoBERTa, etc.) for multilingual performance Contribute to real-time inference APIs for NLP outputs in live dashboards GenAI & LLM Systems Design and test GenAI prompts for summarization, coaching, and feedback generation Integrate retrieval-augmented generation (RAG) using OpenAI, HuggingFace, or open-source LLMs Collaborate with product and engineering teams to deliver LLM-based features with measurable accuracy and latency metrics Implement prompt tuning, caching, and fallback strategies to ensure system reliability Experimentation & Deployment Own model lifecycle: data preparation, training, evaluation, deployment, monitoring Build reproducible training pipelines using MLflow, DVC, or similar tools Write efficient, well-structured, production-ready code for inference APIs Document experiments and share insights with cross-functional teams Required Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields 3–7 years experience applying ML in production, including NLP and/or speech Experience with transformer-based architectures for text or audio (e.g., BERT, Wav2Vec, Whisper) Strong Python skills with experience in PyTorch or TensorFlow Experience with REST APIs, model packaging (FastAPI, Flask, etc.), and containerization (Docker) Familiarity with audio pre-processing, signal enhancement, or feature extraction (MFCC, spectrograms) Knowledge of MLOps tools for experiment tracking, monitoring, and reproducibility Ability to work collaboratively in a fast-paced startup environment Preferred Skills Prior experience working with multilingual datasets (Hindi, Arabic, Tamil, etc.) Knowledge of diarization and speaker separation algorithms Experience with LLM APIs (OpenAI, Cohere, Mistral, LLaMA) and RAG pipelines Familiarity with inference optimization techniques (quantization, ONNX, TorchScript) Contribution to open-source ASR or NLP projects Working knowledge of AWS/GCP/Azure cloud platforms What Success Looks Like Transcription accuracy improvement ≥ 85% across core languages NLP pipelines used in ≥ 80% of Darwix AI’s daily analyzed calls 3–5 LLM-driven product features delivered in the first year Inference latency reduced by 30–50% through model and infra optimization AI features embedded across all Tier 1 customer accounts within 12 months Life at Darwix AI You will be working in a high-velocity product organization where AI is core to our value proposition. You’ll collaborate directly with the founding team and cross-functional leads, have access to enterprise datasets, and work on ML systems that impact large-scale, real-time operations. We value rigor, ownership, and speed. Model ideas become experiments in days, and successful experiments become deployed product features in weeks. Compensation & Perks Competitive fixed salary based on experience Quarterly/Annual performance-linked bonuses ESOP eligibility post 12 months Compute credits and model experimentation environment Health insurance, mental wellness stipend Premium tools and GPU access for model development Learning wallet for certifications, courses, and AI research access Career Path Year 1: Deliver production-grade ASR/NLP/LLM systems for high-usage product modules Year 2: Transition into Senior Applied Scientist or Tech Lead for conversation intelligence Year 3: Grow into Head of Applied AI or Architect-level roles across vertical product lines How to Apply Email the following to careers@darwix.ai : Updated resume (PDF) A short write-up (200 words max): “How would you design and optimize a multilingual voice-to-text and NLP pipeline for noisy call center data in Hindi and English?” Optional: GitHub or portfolio links demonstrating your work Subject Line : “Application – Applied Machine Learning Scientist – [Your Name]”

Head of AI & ML Platforms Focus : Voice AI, NLP, Conversation Intelligence for Omnichannel Enterprise Sales Location : Sector 63, Gurugram, Haryana — Full-time, 100% In-Office Work Hours : 10:30 AM – 8:00 PM, Monday to Friday (2nd and 4th Saturdays off) Experience Required : 8–15 years in AI/ML, with 3+ years leading teams in voice, NLP, or conversation platforms Apply : careers@darwix.ai Subject Line : “Application – Head of AI & ML Platforms – [Your Name]” About Darwix AI Darwix AI is a GenAI-powered platform for enterprise revenue teams across sales, support, credit, and retail. Our proprietary AI stack ingests multimodal inputs—voice calls, chat logs, emails, and CCTV streams—and delivers contextual nudges, conversation scoring, and performance analytics in real time. Our suite of products includes: Transform+ : Real-time conversational intelligence for contact centers and field sales Sherpa.ai : A multilingual GenAI assistant that provides in-the-moment coaching, summaries, and objection handling support Store Intel : A computer vision solution that transforms CCTV feeds into actionable insights for physical retail spaces Darwix AI is trusted by large enterprises such as IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar, and Sobha Realty , and is backed by leading institutional and operator investors. We are expanding rapidly across India, the Middle East, and Southeast Asia. Role Overview We are seeking a highly experienced and technically strong Head of AI & ML Platforms to architect and lead the end-to-end AI systems powering our voice intelligence, NLP, and GenAI solutions. This is a leadership role that blends research depth with applied engineering execution. The ideal candidate will have deep experience in building and deploying voice-to-text pipelines, multilingual NLP systems, and production-grade inference workflows. The individual will be responsible for model design, accuracy benchmarking, latency optimization, infrastructure orchestration, and integration across our product suite. This is a critical leadership role with direct influence over product velocity, enterprise client outcomes, and future platform scalability. Key ResponsibilitiesVoice-to-Text (ASR) Architecture Lead the design and optimization of large-scale automatic speech recognition (ASR) pipelines using open-source and commercial frameworks (e.g., WhisperX, Deepgram, AWS Transcribe) Enhance speaker diarization, custom vocabulary accuracy, and latency performance for real-time streaming scenarios Build fallback ASR workflows for offline and batch mode processing Implement multilingual and domain-specific tuning, especially for Indian and GCC languages Natural Language Processing and Conversation Analysis Build NLP models for conversation segmentation, intent detection, tone/sentiment analysis, and call scoring Implement multilingual support (Hindi, Arabic, Tamil, etc.) with fallback strategies for mixed-language and dialectal inputs Develop robust algorithms for real-time classification of sales behaviors (e.g., probing, pitching, objection handling) Train and fine-tune transformer-based models (e.g., BERT, RoBERTa, DeBERTa) and sentence embedding models for text analytics GenAI and LLM Integration Design modular GenAI pipelines for nudging, summarization, and response generation using tools like LangChain, LlamaIndex, and OpenAI APIs Implement retrieval-augmented generation (RAG) architectures for contextual, accurate, and hallucination-resistant outputs Build prompt orchestration frameworks that support real-time sales coaching across channels Ensure safety, reliability, and performance of LLM-driven outputs across use cases Infrastructure and Deployment Lead the development of scalable, secure, and low-latency AI services deployed via FastAPI, TorchServe, or similar frameworks Oversee model versioning, monitoring, and retraining workflows using MLflow, DVC, or other MLOps tools Build hybrid inference systems for batch, real-time, and edge scenarios depending on product usage Optimize inference pipelines for GPU/CPU balance, resource scheduling, and runtime efficiency Team Leadership and Cross-functional Collaboration Recruit, manage, and mentor a team of machine learning engineers and research scientists Collaborate closely with Product, Engineering, and Customer Success to translate product requirements into AI features Own AI roadmap planning, sprint delivery, and KPI measurement Serve as the subject-matter expert for AI-related client discussions, sales demos, and enterprise implementation roadmaps Required Qualifications 8+ years of experience in AI/ML with a minimum of 3 years in voice AI, NLP, or conversational platforms Proven experience delivering production-grade ASR or NLP systems at scale Deep familiarity with Python, PyTorch, HuggingFace, FastAPI, and containerized environments (Docker/Kubernetes) Expertise in fine-tuning LLMs and building multi-language, multi-modal intelligence stacks Demonstrated experience with tools such as WhisperX, Deepgram, Azure Speech, LangChain, MLflow, or Triton Inference Server Experience deploying real-time or near real-time inference models at enterprise scale Strong architectural thinking with the ability to design modular, reusable, and scalable ML services Track record of building and leading high-performing ML teams Preferred Skills Background in telecom, contact center AI, conversational analytics, or field sales optimization Familiarity with GPU deployment, model quantization, and inference optimization Experience with low-resource languages and multilingual data augmentation Understanding of sales enablement workflows and domain-specific ontology development Experience integrating AI models into customer-facing SaaS dashboards and APIs Success Metrics Transcription accuracy improvement by ≥15% across core languages within 6 months End-to-end voice-to-nudge latency reduced below 5 seconds GenAI assistant adoption across 70%+ of eligible conversations AI-driven call scoring rolled out across 100% of Tier 1 clients within 9 months Model deployment velocity (dev to prod) reduced by ≥40% through tooling and process improvements Culture at Darwix AI At Darwix AI, we operate at the intersection of engineering velocity and product clarity. We move fast, prioritize outcomes over optics, and expect leaders to drive hands-on impact. You will work directly with the founding team and senior leaders across engineering, product, and GTM functions. Expect ownership, direct communication, and a culture that values builders who scale systems, people, and strategy. Compensation and Benefits Competitive fixed compensation Performance-based bonuses and growth-linked incentives ESOP eligibility for leadership candidates Access to GPU/compute credits and model experimentation infrastructure Comprehensive medical insurance and wellness programs Dedicated learning and development budget for technical and leadership upskilling MacBook Pro, premium workstation, and access to industry tooling licenses Career Progression 12-month roadmap: Build and stabilize AI platform across all product lines 18–24-month horizon: Elevate to VP of AI or Chief AI Officer as platform scale increases globally Future leadership role in enabling new verticals (e.g., healthcare, finance, logistics) with domain-specific GenAI solutions How to Apply Send the following to careers@darwix.ai : Updated CV (PDF format) A short statement (200 words max) on: “How would you design a multilingual voice-to-text pipeline optimized for low-resource Indic languages, with real-time nudge delivery?” Links to any relevant GitHub repos, publications, or deployed projects (optional) Subject Line : “Application – Head of AI & ML Platforms – [Your Name]”

What You’ll Do: Design and deploy AI-ML models for real-world applications (NLP, CV, etc) Work on end-to-end pipelines: data preprocessing to inference Contribute to both client solutions and internal product features You Should Have: 3+ years of hands-on ML/AI development experienc eExperience with libraries like scikit-learn, PyTorch, TensorFlow, HuggingFac eExperience in deploying models using FastAPI or simila r What You’ll Do : Work From Home Fir st (local presence preferred for occasional project-based meet s)Startup Ownersh ip: You’ll work closely with the founders and decision-make rsGrowth-Focused Environme nt: You grow, we gro w . Compensatio n: Competitive Sal ary based on experience and skill setOpportun ity to shape products from scratch in a high-impact environm ent 💡 If you're passionate about tech and want to build meaningful AI-powered solutions in a dynamic startu p — we'd love to hear from you!

✅ Location: Bharatpur (On-Site) ✅ Job Type: Full-Time ✅ Experience: 1–2 Years ✅ Salary: ₹25,000 – ₹35,000/month (based on skills & experience) ✅Job Description: We are looking for a passionate and skilled Python Developer with experience in Machine Learning (ML) and Large Language Models (LLMs) to join our on-site team in Bharatpur . You'll be responsible for developing intelligent tools and solutions using open-source ML/NLP frameworks. ✅Key Responsibilities: Build and deploy ML/LLM-based solutions using Python Work on NLP tasks such as text classification, summarization, and chatbot development Integrate and fine-tune pre-trained LLMs (Hugging Face, OpenAI, etc.) Use libraries like Transformers, LangChain, scikit-learn, or TensorFlow Handle data collection, cleaning, vectorization, and embeddings Create APIs using Flask or FastAPI for ML model deployment Collaborate with the product and engineering teams for real-world use cases ✅ Required Skills: 1–2 years of hands-on experience in Python and ML/NLP Knowledge of LLM frameworks like Hugging Face, LangChain, or OpenAI Experience with vector databases like FAISS or Pinecone (preferred) Familiarity with Transformers, embeddings, tokenization Understanding of REST APIs and integration Good problem-solving and debugging skills ✅Good to Have: Experience with chatbot frameworks or RAG pipelines Exposure to tools like Gradio, Streamlit for UI prototyping Version control using Git Docker/basic deployment skills ✅What We Offer: Competitive salary with performance-based growth Opportunity to work on innovative AI projects locally Learning-focused culture and skill development Supportive and collaborative work environment 5-day work week (Mon–Fri) If you're excited about AI, Python, and real-world ML applications — apply now and join our team in Bharatpur! Job Types: Full-time, Permanent Pay: From ₹20,347.73 per month Benefits: Cell phone reimbursement Health insurance Internet reimbursement Life insurance Paid sick time Provident Fund Location: Bharatpur, Rajasthan (Required) Work Location: In person

We are in the process of developing an AI-powered hiring platform with the aim of revolutionizing the recruitment industry. At this moment, we are actively seeking a CTO co-founder to join us in this exciting phase of our journey. Our startup has been meticulously refining the concept and gaining early traction behind the scenes for several months. What sets us apart is that we are not merely at the ideation stage; we are already engaged in advanced discussions with a US-based investor. We have successfully concluded several rounds of meetings, and the investor has displayed significant interest and is planning an in-person meeting. The outlook for our seed funding round appears promising, and we are eager to onboard the right tech leader before proceeding further. As a CTO co-founder, we require an individual who can assume complete responsibility for the technological aspects ranging from Minimum Viable Product (MVP) to scaling. Your responsibilities will include designing and developing scalable, secure, and high-performance systems, leading and nurturing the tech team, overseeing architecture decisions, project timelines, and delivery, actively participating in product strategy discussions with the founding team, and contributing to investor presentations from a technological standpoint. The preferred tech stack for our platform includes: - Frontend: React.js / Next.js - Backend: Python (FastAPI / Django) - AI/ML: Python-based LLM integrations, vector databases - Database: PostgreSQL, Redis - Infrastructure: AWS or GCP, Docker, CI/CD pipelines The ideal candidate should possess a minimum of 5-10 years of experience in software engineering, with a proven track record of building or scaling products from inception. Strong leadership skills, team-building capabilities, and familiarity with developing AI-integrated platforms are advantageous. Candidates should be based in Kerala or willing to relocate. Ideally, the candidate should be able to work from our Cochin office for at least a portion of the week. This opportunity extends beyond a traditional employment role, offering the chance to join as a co-founder with equity. You will play a pivotal role in decision-making and the establishment of a significant venture from the ground up. If this opportunity resonates with you or if you are aware of someone who might be a suitable fit, we look forward to connecting with you. #startup #cofounder #AI #python #react #investor #hiring #kerala,

As a Sr. Consultant- Data Scientist at Firstsource Solutions Limited, you will be responsible for designing and implementing advanced Machine Learning (ML) and Deep Learning (DL) models. Your role will involve developing web applications using Flask and FastAPI for real-time data processing and user interaction. Additionally, you will conduct exploratory data analysis, create data processing pipelines, and utilize Generative AI techniques to enhance content generation. Collaboration is key in this role as you will work closely with cross-functional teams to integrate AI capabilities into products and systems. Staying updated with the latest advancements in AI, ML, DL, Computer Vision (CV), and Natural Language Processing (NLP) is crucial to drive innovation within the organization. Effective communication skills are essential for conveying complex quantitative analysis to senior management and other departments in a clear and actionable manner. To qualify for this position, you should possess a Bachelors or Masters or PhD degree in Computer Science, Data Science, Statistics, or a related field. A minimum of 5 to 7 years of experience in a data science role focusing on ML, DL, and statistical modeling is required. Strong coding skills in Python, proficiency in ML and DL frameworks (such as PyTorch, TensorFlow), CV tools (like OpenCV), and NLP libraries (such as NLTK, spaCy) are essential. Prior experience with generative models like GANs, VAEs, or Transformers, along with deployment skills in Docker, Kubernetes, and CI/CD pipelines, is advantageous. Analytical aptitude and excellent communication skills are also necessary for this role. Possessing certifications in Data Science, ML, or AI from recognized institutions will be an added advantage. Please note that Firstsource maintains a fair, transparent, and merit-based hiring process and does not solicit money at any stage. Beware of fraudulent offers and always verify information through official channels or @firstsource.com email addresses.,

Job Description As a Python Backend Engineer with exposure to AI engineering at Quantanite, you will be an integral part of our team responsible for building a scalable, cognitive data platform. Your role will involve designing and developing high-performance backend services using Python (FastAPI), developing RESTful APIs for data ingestion, transformation, and AI-based feature access, and collaborating closely with DevOps and data engineering teams to integrate backend services with Azure data pipelines and databases. Your primary responsibilities will include managing database schemas, writing complex SQL queries, and supporting ETL processes using Python-based tools. Additionally, you will be tasked with building secure, scalable, and production-ready services that adhere to best practices in logging, authentication, and observability. You will also implement background tasks and async event-driven workflows for data crawling and processing. In terms of AI engineering contributions, you will support the integration of AI models (NLP, summarization, information retrieval) within backend APIs. You will collaborate with the AI team to deploy lightweight inference pipelines using PyTorch, TensorFlow, or ONNX, and participate in training data pipeline design and minor model fine-tuning as needed for business logic. Furthermore, you will contribute to the testing, logging, and monitoring of AI agent behavior in production environments. To be successful in this role, you should have at least 3 years of experience in Python backend development, with a strong proficiency in FastAPI or equivalent frameworks. A solid understanding of RESTful API design, asynchronous programming, and web application architecture is essential. Additionally, you should demonstrate proficiency in working with relational databases (e.g., PostgreSQL, MS SQL Server) and Azure cloud services, as well as experience with ETL workflows, job scheduling, and data pipeline orchestration (Airflow, Prefect, etc.). Exposure to machine learning libraries (e.g., Scikit-learn, Transformers, OpenAI APIs) is a plus, along with familiarity with containerization (Docker), CI/CD practices, and performance tuning. A mindset of code quality, scalability, documentation, and collaboration is highly valued at Quantanite. If you are looking for a challenging yet rewarding opportunity to work in a collaborative environment with a focus on innovation and growth, we encourage you to apply to join our dynamic team at Quantanite.,