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
Staff Machine Learning Engineer, Hyderabad
Build and deploy ML systems for identity resolution, audience modeling, and personalization on AWS/Databricks, turning first-party data into scalable ML capabilities for media and advertising.
Python Machine Learning Engineer
Build and deploy end-to-end ML systems—from data pipelines to production models—using Python and libraries like Pandas, Scikit-learn, and PyTorch.
Machine Learning Engineer
Build and deploy India’s open healthcare foundation model: train a 30B-parameter MoE on 500B+ Indic-language tokens, then ship fast inference and robust evals for doctors and government use.
Machine Learning Engineer
Build and evaluate India’s open healthcare foundation model (30B-parameter MoE) by running pretraining/post-training sweeps, data-quality tooling, and training dashboards in Python.
Machine Learning Research Engineer, Pre-training (LLMs)
Build and optimize India’s open healthcare foundation model (30B-parameter MoE) by designing data mixes, curricula, and ablation ladders at scale using Megatron/NeMo-class trainers.
Machine Learning Research Engineer, Post-training (LLMs)
Research and post-train large language models for healthcare, adapting them to Indian languages and clinical workflows using SFT, preference optimization, and RL with physician feedback.
AI/ML Operations Technical Leader
Lead the build and operation of MLOps platforms on AWS for autonomous-driving ML workloads, using Ray, Kubernetes, Airflow, MLflow, and CI/CD pipelines.
Machine Learning Operations Engineer
Build and deploy scalable ML and GenAI pipelines using Python, Azure ML, and MLflow to productionize models and APIs for a global ingredients and sustainability-focused company.
Senior Manager, Machine Learning Engineering
Leads ML engineering processes to productionize models, set standards, and improve workflows. Ensures alignment with design criteria and addresses data quality, security, and collaboration challenges.
Lead Engineer - Machine Learning
Lead a team to design, build, and deploy ML/NLP systems and LLM integrations, while setting the technical roadmap and mentoring engineers.
Machine Learning Engineer
Build and fine-tune AI agents that autonomously handle loan servicing and debt collection using LLMs and ML systems in real financial conversations.
Machine Learning Senior Analyst - HIH - Evernorth
Build and deploy generative AI and ML models using embeddings and vector databases to improve healthcare solutions and processes.
Machine Learning Associate Advisor - HIH - Evernorth
Build and deploy generative AI and ML applications using embeddings and vector databases to improve healthcare analytics and solutions.
Sales Manager (AI/ML Sales experience is must)
Leads enterprise sales for AI/LLM solutions, driving revenue growth by selling Generative AI, Agentic AI, and automation to large organizations.
Senior Manager- AI/ML Science
Lead a team of AI/ML scientists at a global lifestyle brand, setting technical direction, designing new algorithms, and delivering rigorous AI solutions that drive measurable business impact.
Senior AI/ML Engineer
Build and deploy scalable AI/ML systems, including LLM pipelines, RAG, and MLOps tooling, to production for a global lifestyle brand.
Applied AI/ML Scientist
Build and deploy AI/ML models for demand forecasting, personalization, and content enrichment using Python and PyTorch, then integrate them into production systems.