42 Remote Machine Learning & AI Jobs in India

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• Experience deploying machine learning/AI systems in production environments and tools.
• 8+ years of experience as a machine learning engineer/researcher or in a similar role.

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• You will be responsible for designing, implementing, and optimizing AI models and tools to solve complex problems and enhance our…
• Job Brief: Creative Chaos is looking for an experienced AI Engineer to join our innovative team.

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• Requirements What You’ll Do Build LLM, RAG & agentic AI systems Design document intelligence pipelines Work with LangChain, LangGraph, Llam…

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• Must-Have Skills 1–4 years of hands-on experience in AI engineering, machine learning, or related software engineering roles .
• Collaborate with software engineers and product teams to translate business requirements into scalable AI solutions.

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• Qualifications Experience: Minimum 3 years of professional experience in AI/ML engineering or a related field.
• Collaborate with DevOps teams to optimize and monitor production-level AI/ML solutions.

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• Requirements Qualifications: Proven experience as an AI Engineer, Machine Learning Engineer, Applied AI Engineer, Robotics Engineer, or in…
• Collaborate with product, engineering, and domain experts to design, test, and continuously improve AI-driven automation solutions.

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• Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer…
• Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team.

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• Key Responsibilities Design and build scalable AI platform services, APIs, SDKs, and microservices using markdown and Python supporting a .…
• Collaborate with Product, Engineering, and DevOps teams to build reusable AI capabilities and accelerate AI adoption across the organizatio…

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• General Summary: The Principal Machine Learning Engineer is responsible for building Machine learning models based on diverse business requ…
• Designs and maintains machine learning infrastructure.

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• This is a hybrid ML Engineering / Site Reliability Engineering role.
• You're as comfortable debugging a misbehaving diffusion pipeline as you are tracing a latency regression through an inference stack, and…

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• Required Skills and Experience: 2+ years of professional experience in machine learning and software engineering, with experience shipping…
• This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks,…

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• ABOUT THE ROLE We are hiring a Full Stack AI Engineer to work across the product and technical stack, from…
• WHY THIS ROLE Work across a broad technical stack in an AI-native environment.

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• Mentor engineers and raise team capability in distributed systems, cloud engineering, software architecture, and responsible AI adoption.
• Full-stack engineering experience across backend services, application programming interfaces, relational databases, scalable data access p…

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• The ideal candidate will have a strong foundation in machine learning and artificial intelligence, with hands-on experience in building Gen…
• In this role, you will work transversely across the company, embedding AI-driven and LLM-powered solutions into various facets of our…

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• Collaborate with data engineers and product teams to deliver AI solutions.
• Experience with cloud AI services Knowledge of MLOps tools and pipelines If you are an experienced AI Engineer with strong…

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• Requirements Essential 3-7 years of experience as an ML Engineer, Applied Scientist, or Data Scientist in industry.
• Hands-on experience with data pipelines and ETL, such as Airflow or Spark, and strong SQL for feature engineering.

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• Team Purpose The Machine Learning Team's mission is to enable product innovation by making it painless for developers to build…
• As a Machine Learning Engineer on the team you’ll be building models for new products with emerging technologies, at scale.

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• Key Responsibilities Agentic Engineering & Client Delivery Build and operationalize end-to-end agentic AI solutions, like RAG pipelines, mu…
• Required Qualifications Experience 4+ years of experience in AI/ML engineering, software engineering, or data engineering roles building an…

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• Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future.

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• Key Responsibilities Design, build, and maintain production AI applications end-to-end: backend, frontend, and inference services.
• Role Summary We are looking for a Senior FullStack Engineer, AI to own and evolve Delta Exchange's suite of AI-powered…

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• Mentorship: Mentor senior engineers on AI/ML best practices, agentic design patterns, and the integration of emerging AI technologies into…
• Extensive experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and proven experience deploying LLMs and agentic architectures in pr…

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• General Summary: The Senior AI Engineer (2–5 years experience) is responsible for designing and implementing intelligent, scalable AI/ ML s…
• Knowledge, Skills, and/or Abilities Required: 2–5 years of experience in AI/ML engineering.

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• Responsibilities Build, train, and evaluate machine learning models that detect security threats and unusual system behavior Develop and ma…
• Why This Role Matters We are looking for an AI Research Engineer - Applied AI to build and ship the…

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• Technical Leadership Lead, mentor, and develop AI/ML and backend engineers.
• You will design and build LLM-powered agentic systems, RAG architectures, multi-agent workflows, and AI applications , while mentoring a te…

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• Collaboration: Work closely with software engineers, data engineers, and product teams to integrate AI solutions into production applicatio…
• AI Model Development: Design, train, and optimize AI/ML models for NLP, computer vision, and generative AI tasks.