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
Software Engineer (AI/ML)
Redefine the future of customer experiences. One conversation at a time. At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation…
AI/ML Engineer
Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
Lead AI/ML Engineer
Designs and deploys AI/ML and generative AI solutions (LLMs, RAG, vector databases) for enterprise applications, focusing on document intelligence, knowledge management, and automation to improve operational efficiency in climate and energy solutions.
Software Engineer - AI/ML
Builds autonomous AI agents for task planning, workflow orchestration, and decision-making using LLMs and frameworks like LangChain, integrating with enterprise systems and cloud platforms.
Associate Machine Learning Engineer
The Associate Machine Learning Engineer will deploy and maintain AI models within Goodyear's Global Mobility Solution platform. The role focuses on MLOps, building containerized environments, and collaborating with data and cloud teams to ensure production-level model performance and observability.
Staff Software Engineer - Machine Learning (Search)
Lead the development of AI-powered search ranking and relevance systems for Databricks' platform, focusing on query understanding, retrieval, and evaluation at scale.
Machine Learning Engineer IV
Builds and deploys production-grade AI/ML systems (classification, document understanding, RAG, LLMs) to automate compliance workflows and improve developer efficiency at a fintech company processing billions of transactions annually.
AI/ML Engineer
AI Software Engineer at SoftwareOne designs, builds, deploys, and optimizes production AI solutions across the full lifecycle, collaborating with teams to use cloud, MLOps, and modern AI technologies for customer value.
Senior ML Engineer
Build and deploy ML models for risk and intelligence products at scale, focusing on fraud detection and network analysis using Python, TensorFlow/PyTorch, and BigQuery.
(Senior) Software Engineer – AI/ML (m/f/d)
Build and operate scalable backend services that power AI-driven workforce management features using Java, Python, and cloud-native tools.
Angular Developer with AI/ML Integration
Develop front-end applications using Angular, integrating AI/ML models and APIs to enhance user experience, working with cross-functional teams to implement and optimize AI-powered features.
AI/ML Software Engineer
Full-stack software engineer building and operating production systems with React front-ends, Python back-end services, and PostgreSQL, while handling CI/CD pipelines and SRE/observability practices on Azure DevOps.
Machine Learning Engineer (Agent Intelligence & Evaluations)
Design evaluation frameworks, end-to-end observability, and self-improvement systems for voice AI agents at a travel company, using Python, speech models (Whisper, Conformer), LLM agent frameworks, and observability stacks.
AI/ML Engineer - AWS
AI/ML Engineer designing and implementing intelligent automation solutions using Computer Vision, OCR, Deep Learning, and Vision-Language Models on AWS platforms, building proof-of-concepts and scalable AI solutions for automation use cases.