ML / AI Jobs in India
There are 766 open ML / AI jobs in India on freehire right now. 109 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 52%
- 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
Machine Learning Engineer, AI Studio
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Sr Machine Learning Engineer
Senior ML engineer building and scaling enterprise-grade AI/ML and GenAI platforms, including MLOps pipelines, model services, and full-stack applications for Amgen’s healthcare data needs.
Machine Learning Engineer
Build, deploy, and monitor ML models and MLOps pipelines on AWS for forecasting and GenAI apps in a biotech setting.
Machine Learning, Associate, WM Admin, Wealth Management
Build and maintain ML models for Wealth Management, generating predictive analytics and insights to support data-driven decisions and strategy for Morgan Stanley’s India team.
Machine Learning Associate Director
Lead AI/ML initiatives end-to-end for IQVIA’s healthcare products, overseeing architecture, delivery, and team management while aligning with product strategy and clinical domain needs.
AI/ML Engineer
Designs and builds machine learning models to analyze data and improve product performance, working 2 days per week from an HPE office in Bengaluru using Python, TensorFlow, and related tools.
AI / ML Engineer
Design and build AI-driven applications using cloud AI services and generative models, integrating them into production-ready pipelines.
AI / ML Engineer
Design and build AI-powered applications using cloud services and generative models, ensuring production-ready quality and integrating deep learning, chatbots, and image processing.
AI / ML Engineer
Build production-grade AI systems using ML tools, cloud AI services, and generative models like deep learning and neural networks for enterprise solutions.
AI / ML Engineer
Design and build AI-powered applications using cloud services and on-prem pipelines, integrating generative models and deep learning into production systems.
AI / ML Engineer
Design and build AI-driven data applications in Snowflake using Cortex AI, Cortex Functions, and Cortex Search for semantic search, LLM-powered transformations, and intelligent data retrieval.
Machine Learning Engineer (T25)
Build and refine AI models for eBay’s ecommerce platform, focusing on LLMs, retrieval, ranking, and reinforcement learning to improve search, recommendations, and user experience.
AI/ML Engineering Manager
Lead a team to design, build, and ship ML models and LLM/GenAI pipelines for a media-screening platform running on AWS, balancing classical and modern AI approaches.
AI/ML Engineer
Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people,…
AI / ML Engineer
Build and deploy AI-driven applications using generative models, deep learning, and cloud AI services. Design production-ready pipelines and integrate AI into systems.
AI / ML Engineer
Build and deploy AI-driven applications using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Design and build AI-powered applications using generative models, deep learning, and cloud/on-prem pipelines to deliver production-ready solutions.
AI / ML Engineer
Build AI-powered applications and cloud pipelines using GenAI, deep learning, and neural networks, ensuring production-ready quality and collaborating across teams.
AI / ML Engineer
Build production-ready AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.