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
ML Engineer III
Build and deploy ML models, NLP systems, and GenAI pipelines (RAG, LLMs) to power predictive and retrieval-driven features for a B2B AI platform.
Senior Applied ML Engineer, Evals & Data
Cardboard is seeking an Applied ML Engineer to build evaluation systems and improve the quality of their AI-powered video editing agent. You will work across the stack using TypeScript and Python to analyze failure patterns, create datasets, and implement regression testing for production AI workflows.
Senior AI/ML Engineer
Architect and build an enterprise-grade Agentic AI orchestration platform using Claude APIs, LangGraph, LangChain, RAG, vector databases, MCP, Python, and FastAPI in a senior technical leadership role.
Lead AI/ML Engineer (GenAI & Architecture)
Lead the architecture and implementation of AI/ML systems, collaborating with data scientists and engineers. Core tech includes Python, TensorFlow, AWS, and Scikit-learn.
Lead AI/ML Engineer
Lead AI/ML Engineer architecting mission-critical AI/ML systems at scale using deep learning, LLMs, RAG, and cloud platforms (AWS/GCP/Azure) in a hybrid role based in Coimbatore.
Prinicipal AI/ML ARCHITECT
A freelance Principal AI/ML Architect driving strategic delivery and architectural design of AI/ML solutions, overseeing project governance, resource alignment, and team coaching in an onsite role in Bangalore.
AI/ML Intern
Build and fine-tune AI models using Python, PyTorch, and Hugging Face; develop NLP and computer vision applications in a startup environment.
AI/ML Engineer
AI/ML Engineer building and deploying generative AI, NLP, and computer vision models using Python, PyTorch, Keras, and Hugging Face, with RESTful API development for model integration.
AI/ML Intern
AI/ML Intern building and fine-tuning LLMs and other models using Python, PyTorch, and Hugging Face, with exposure to NLP, computer vision, and API development in Pune, India.
Machine Learning Engineer
Machine Learning Engineer implementing ML solutions on a Procure to Pay project in a hybrid Pune setting, writing clean Python/ML code under senior mentorship with a focus on data preprocessing, model building, and team collaboration.
Principal Machine Learning Engineer
Principal ML Engineer builds and optimizes LLM-based models, fine-tuning pipelines, and production-grade ML services for a SaaS platform powering tech solution providers.
AI/ML Architect
The AI/ML Architect will design and maintain end-to-end machine learning systems, lead technical teams, and oversee production model deployments for enterprise clients. The role requires hands-on coding in Python, MLOps expertise, and experience with frameworks like PyTorch and TensorFlow.
Senior Applied Machine Learning Engineer (Evals, Agents, Data) - Bengaluru
Owns AI quality for an agentic video editor, building evaluation datasets, offline/online evals, and feedback loops to improve agent performance and fix production failures.
Lead AI/ML Engineer
The Lead Data Scientist will develop and monitor machine learning models, including GLM and GenAI, to solve insurance business challenges using Python, SQL, and Databricks. This role involves leading data science projects, mentoring junior staff, and communicating technical insights to stakeholders.
Machine Learning Engineer
Lead a team building scalable, high-performance admin interfaces and services for Adobe’s enterprise platforms using React, Node.js, and cloud infrastructure, while driving engineering standards and mentoring engineers.