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
AI/ML Applications Engineer
Build and deploy enterprise-grade AI voice and chat bots using RAG pipelines, fine-tuned LLMs, and agentic AI frameworks like LangChain on Kubernetes.
Software Engineer, AI/ML, PhD, Early Career, 2026
Build and optimize large-scale AI/ML systems for Google Cloud, leveraging distributed computing and advanced algorithms to power services like Search and YouTube.
Senior Machine Learning Engineer
Build and deploy ML models for Weekday AI’s core product, focusing on model training, optimization, and integration into scalable AI systems.
Founding Machine Learning Engineer
Build and scale the core ML systems for a new AI startup, designing models and infrastructure from the ground up.
AI/ML Architect
Design and deploy scalable, real-time AI systems including LLM inference pipelines, RAG, and vector databases using Python, TensorFlow/PyTorch, and Kubernetes.
Machine Learning Engineer
Build and deploy AI agents and LLM-powered systems for public-safety use cases, orchestrating workflows with LangGraph/AutoGen and containerizing models in Docker/Kubernetes.
Machine Learning Engineer 3 ( Firefly )
Build and optimize scalable generative AI inference pipelines and APIs for Adobe Firefly, integrating models into Photoshop, Illustrator, and other products while focusing on latency and performance.
Forward Deploy Engineer ( AI/ML systems, MLOPS)
Builds and deploys AI/ML systems, focusing on LLM fine-tuning, vector databases, and MLOps to turn prototypes into secure production solutions.
Senior Artificial Intelligence/Machine Learning Engineer
Build enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in banking and consumer sectors.
Staff Machine Learning Engineer
Design and deploy production-grade AI systems, including agentic workflows and GenAI, to drive measurable business impact in digital banking and lending.
Senior System Software Engineer, Deep Learning Accelerator
Build and maintain low-level drivers and firmware for NVIDIA’s Deep Learning Accelerator hardware, optimizing performance for AI workloads in self-driving cars, gaming, and content creation.
Amazon Applied Scientist, International Machine Learning
Build and deploy ML models to optimize Amazon’s India operations, from fraud detection to product recommendations, using Python/Java/C++ and big-data toolkits.
Amazon Machine Learning Data Operations Associate
Perform precise data annotation (images, video, text) to train and validate Amazon’s robotics and fulfillment AI models, ensuring high-quality labels for object detection, segmentation, and tracking.
Amazon Digital Associate, Machine Learning Operations
Collect ground-truth data and execute ML tasks under defined instructions to support AWS product development, ensuring quality and reporting results.
Python AI Developer – Machine Learning, Cloud & Agile Delivery
Build and lead Python-based AI solutions, cloud deployments, and Agile delivery for enterprise clients, guiding cross-functional teams and translating business needs into scalable, secure ML systems.
Python & Generative AI Developer – LLMs, Cloud & Machine Learning
Build and lead Python-based generative AI solutions using LLMs, cloud platforms, and ML pipelines while guiding cross-functional teams and translating business needs into scalable AI systems.
Lead Software Engineer, AI/ML
Lead AI/ML engineer at Nike building scalable prediction and optimization models in Python on AWS, mentoring teams, and owning ML solutions from conception to production.