ML / AI Jobs in India
There are 767 open ML / AI jobs in India on freehire right now. 110 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 53%
- 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
Semantic AI/ML Engineer
Build and maintain enterprise ontologies and knowledge graphs using OWL/RDF and SPARQL, then integrate them with AI systems for smarter data retrieval and reasoning.
Machine Learning Engineer
Build and deploy ML models for creative understanding across vision, video, and language, then ship them into Adobe’s products to power insights and recommendations for marketers and creators.
AI / ML Engineer
Design and build AI-driven applications using cloud and on-prem pipelines, integrating generative AI models like LLMs into production-ready solutions.
AI / ML Engineer
Build and deploy AI/ML applications using cloud AI services, generative models, and deep learning. Design production-ready pipelines and integrate solutions like chatbots and image processing.
AI / ML Engineer
Build production-ready AI systems using cloud AI services, generative models, deep learning, and neural networks for enterprise applications.
AI / ML Engineer
Build production-grade AI systems using LLMs, deep learning, and cloud AI services, including GenAI models, chatbots, and image processing.
AI / ML Engineer
Build and deploy generative AI models, NLP systems, and deep-learning pipelines on cloud platforms to power business decisions and conversational AI.
AI / ML Engineer
Build and deploy AI/ML applications using cloud services like Amazon SageMaker, integrating generative models and deep learning into production pipelines.
AI / ML Engineer
Design and deploy AI/ML applications using cloud services and GenAI models, including deep learning, neural networks, and chatbots, in a production environment.
Machine Learning Engineer 4
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s creative tools, processing billions of assets in real time.
Sr Machine Learning Engineer
Build and optimize scalable data pipelines and generative-AI systems for Amgen’s manufacturing knowledge layers, using PySpark, Databricks, vector stores, and LLMs.
Director Product Architect (Java, REST, SpringBoot, AI/ML, LLM)
Leads the architecture of Mastercard’s switching and network services, defining scalable, secure systems that integrate Java, Spring Boot, and AI/ML including LLMs to power global payments.
AI/ML Computational Science Sr Analyst
Build and deploy AI-powered Python applications using frameworks like FastAPI and LangChain, integrating LLMs and vector databases for enterprise solutions.
Application Developer - AI/ML
Builds and optimizes AI/ML-powered mobile/web apps for Warner Bros. Discovery, focusing on personalized content, search, and dynamic recommendations using frameworks like TensorFlow/PyTorch, cloud platforms (AWS/GCP), and generative models (LLMs, transformers).
Lead Machine Learning Engineer
Lead the development and optimization of AI/ML models (CNNs, Vision Transformers, LLMs) for AMD’s next-gen compute platforms, including compiler toolchains and performance tuning.