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
Senior HPC Cluster Engineer, AI/ML
Engineer and operate large-scale GPU-accelerated HPC clusters for AI/ML workloads, focusing on automation, performance tuning, and reliability across on-prem and cloud environments.
Applied AI Machine Learning Director
Lead AI/ML engineering for agentic systems at JPMorgan Chase, designing LLM orchestration, RAG pipelines, and reusable GenAI components in Python with PyTorch/TensorFlow.
Sr. Software Engineer, Machine Learning
Build and deploy ML models for embeddings, retrieval, ranking, and classification, and create generative-AI features for a large-scale recommender system.
AI/ML Engineer
Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
Senior Machine Learning Engineer (Bangalore/Noida Location)
Build and deploy LLM-powered agents and RAG pipelines using PyTorch and Hugging Face, optimizing for accuracy, latency, and cost in a contact-center AI platform.
Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations)
Build and maintain scalable speech-to-text pipelines using deep learning for a contact-center AI platform, focusing on ASR, transcription, and diarization.
Senior Machine Learning Engineer - NLP (Bangalore/Noida Location)
Build and deploy NLP pipelines using LLMs for contact-center insights, including text classification, summarization, and agentic applications in a fast-moving AI startup.
Senior Machine Learning (ML) Ops Engineer
Build and automate ML infrastructure for a fintech AI startup, deploying scalable pipelines with Kubernetes, Docker, and cloud services to deliver real-time financial insights.
Machine Learning Engineer
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s content ecosystem, including Firefly and Creative Cloud, using Python, TensorFlow/PyTorch, and distributed systems.
Director, Machine Learning Engineering, AI Studio
Lead Amgen’s AI Studio team to design, build, and scale enterprise AI products (GenAI, RAG, agents) and automation platforms, ensuring scientific credibility, operational reliability, and responsible governance across departments.
Sr AI/ML Engineer – GenAI & Agentic AI
Build and deploy production-grade Generative AI and Agentic AI systems on Microsoft Azure, designing multi-step agent workflows and RAG pipelines to solve complex financial-services challenges.
Digital Product Manager (AI/ML, Fintech or Technology - Driven Organizations)
Drive AI-powered wealth-management products, from discovery to launch, by partnering with engineering, investment, and compliance teams in a regulated fintech setting.
Senior AI/ML Engineer
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Engineer 3 - Machine Learning
Builds, trains, and deploys ML models and data pipelines to power Comcast’s media and entertainment products.
Senior Machine Learning Engineer, Hyderabad
Build and own production ML systems for identity resolution, audience intelligence, and personalization using Databricks, Snowflake, and AWS to power WBD’s streaming and ad-tech platforms.