ML / AI Jobs in India
There are 767 open ML / AI jobs in India on freehire right now. 110 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Most requested skills
- machine-learning 95%
- ai 89%
- python 74%
- cloud 64%
- llm 53%
- generative-ai 50%
- pytorch 45%
- aws 43%
How the work is done
- Hybrid 109 · 14%
- Remote 61 · 8%
- Onsite 35 · 5%
Visa sponsorship offered in 39% of the 75 postings that state a position on it.
Seniority
- Senior 217
- Lead 46
- Staff 38
- Principal 26
- Intern 15
- C-level 6
Who is hiring
- 1000+ employees 285
- 501-1000 employees 46
- 11-50 employees 12
- 51-200 employees 12
- 201-500 employees 3
- 1-10 employees 1
AI / ML Engineer
Build production-ready AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Build production-grade AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch to solve complex business problems.
AI / ML Engineer
Design and build AI-powered applications and cloud pipelines, integrating generative AI and other models into production-ready systems.
Principal Machine Learning Engineer
Principal ML Engineer designs, builds, and deploys production-grade AI systems using LLMs and deep learning, integrating agent workflows across GCP, AWS, and Azure.
AI / ML Engineer
Senior AI Engineer builds and operationalizes GenAI and ML solutions on GCP/Vertex AI, deploys agentic platforms, and maintains production pipelines with strong Python and cloud engineering skills.
AI / ML Engineer
Builds and automates AI/ML pipelines in Python and cloud platforms (GCP preferred), deploys GenAI models, and maintains production-grade ML workflows.
AI / ML Engineer
Design and implement AI/ML systems, including GenAI models and neural networks, to build production-ready applications and pipelines.
AI / ML Engineer
Build and deploy AI-powered applications using LLMs, cloud AI services, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Build and deploy AI systems using Generative AI, LLMs, and deep learning; design cloud or on-prem pipelines and integrate AI models into production applications.
AI / ML Engineer
Design and build AI-driven applications using generative models, deep learning, and cloud/on-prem pipelines. Integrate LLMs, RAG, and vector databases to create production-ready solutions.
AI / ML Engineer
Build and deploy AI-powered applications using generative models, cloud AI services, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Build and deploy AI-powered applications using LLMs, cloud AI services, and GenAI models. Design production-ready pipelines and integrate advanced AI features like chatbots and image processing.
AI / ML Engineer
Designs and builds AI-driven applications using cloud AI services, GenAI models, and UX design, ensuring production-ready, scalable systems deployed on cloud or on-prem.
AI / ML Engineer
Design and build AI-powered applications using cloud services, generative models, and deep learning. Integrate solutions like chatbots and image processing into production pipelines.
AI / ML Engineer
Design and build AI-driven applications using cloud/on-prem pipelines, integrating generative AI models, deep learning, and agentic frameworks like LangChain.
AI / ML Engineer
Build and deploy AI-powered applications using cloud services and generative models, with a focus on production-grade ML pipelines and deep learning techniques.
AI / ML Engineer
Build and deploy AI-powered applications using generative models, cloud AI services, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Design and build AI-powered applications using LLMs, deep learning, and cloud services, deploying production-ready solutions with a focus on generative AI and neural networks.
Machine Learning Engineer
Build and deploy production-grade ML systems for personalization, search, and generative AI at Autodesk, using Python and frameworks like PyTorch or TensorFlow.
ML Engineer (Intelligence) - Bengaluru
Build and improve Oolka’s core AI models and retrieval systems, focusing on LLM post-training, evaluation frameworks, and scalable retrieval/memory layers for a fintech product.