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
Build, tune, and deploy ML models in Python using TensorFlow, PyTorch, and Spark ML to power scalable AI features for Conga’s commercial-operations platform.
Staff Machine Learning Engineer, Generative AI, Voice & Speech
Staff ML Engineer specializing in generative AI for voice and speech, designing scalable AI-powered features and infrastructure to enable product innovation at Weave. Focuses on audio/voice models, LLMs, RAG, and distributed systems for large-scale B2B applications.
AI/ML Ops Advanced Technical Leader
Lead the build and operation of MLOps platforms on AWS for autonomous-driving ML workloads, using Ray, Kubernetes, Airflow, and MLflow to ensure reproducible, traceable, and auditable pipelines.
Senior Machine Learning Engineer (Consumer Team), Hyderabad
Build and scale ML systems for identity resolution, audience intelligence, and personalization across WBD’s streaming brands using Databricks, Snowflake, and AWS.
Staff Machine Learning Engineer (Consumer Team), Hyderabad
Build and deploy ML systems for identity resolution, audience modeling, and personalization on AWS/Databricks, using PyTorch, Spark, and agentic AI workflows to power WBD’s streaming and ad platforms.
Machine Learning Engineer
Build agentic AI systems that combine time-series modeling, generative AI, and industrial data pipelines to deliver predictive maintenance and operational insights for manufacturers.
AI / Voice & Agentic AI/ML Engineer
Build and deploy AI/ML models, voice systems, and agentic AI solutions for enterprise clients using AWS cloud infrastructure.
Forward Deployed Engineer (AI/ML)
Deploys and scales enterprise-grade AI systems on AWS, focusing on agentic AI/ML and voice solutions from prototype to production.
AI / ML Engineer
Design and build AI-driven applications using generative models, cloud AI services, and production-grade pipelines, including deep learning and image processing.
Senior Artificial Intelligence/Machine Learning Engineer
Build and deploy AI-agent systems for enterprise clients, owning the full lifecycle from discovery to production using Python, FastAPI, and agent frameworks like Strands.
AI/ML Computational Science Analyst
Build and apply AI/ML models to automate tasks like visual perception, speech recognition, and decision-making for Accenture’s clients.
AI/ML Computational Science Analyst
Build and maintain AI-powered Python applications, REST APIs, and microservices using frameworks like FastAPI/Flask and cloud platforms.
Senior Artificial Intelligence/Machine Learning Engineer
Senior AI/ML engineer builds and automates enterprise GenAI and agentic platforms using Python, Kubernetes, CI/CD, and cloud-native tooling to accelerate AI solution delivery.
Senior Artificial Intelligence/Machine Learning Engineer
Senior AI/ML engineer building and scaling Bank of America’s enterprise Generative AI platform, including LLMs, RAG, agentic workflows, and cloud-native data/AI services.
Sr. Machine Learning Engineer- Support
Build and automate scalable ML pipelines on Azure and Databricks, containerize models with AKS, and ensure resilient, cost-optimized deployments for healthcare products.
AI / ML Engineer
Design and build AI-powered applications using cloud and on-prem pipelines, applying generative models and LLMs to create production-ready solutions like chatbots and image processors.
AI / ML Engineer
Design and build AI-powered applications using cloud services, generative models, and deep learning pipelines in production environments.
Senior Forward Deployed Engineer (AI/ML), AI Studio
Build and deploy AI/ML solutions end-to-end for Amgen’s AI Studio, turning business problems into scalable GenAI, RAG, and agent-based products with MLOps and enterprise integrations.
Sr Machine Learning Engineer, AI Studio
Build and own end-to-end AI products from problem framing to production deployment, focusing on GenAI, RAG, agents, and MLOps for Amgen’s healthcare domain.