Data Scientist / Machine Learning Engineer / Generative AI & Agentic Systems
Role Summary
As a Data Scientist / Machine Learning Engineer, you will be an integral part of our AI team, designing, developing, and deploying advanced machine learning, deep learning, generative AI, and agentic AI solutions across industrial and automotive use cases.
You will work on solutions ranging from computer vision, predictive maintenance, anomaly detection, optimization, and intelligent automation to Retrieval-Augmented Generation, multimodal AI, AI copilots, Model Context Protocol integrations, and autonomous or semi-autonomous agentic systems.
The role combines strong machine learning engineering fundamentals with practical experience in contemporary generative AI architectures, Azure OpenAI-based applications, RAG systems, tool-using agents, MCP-based enterprise data integration, and multi-agent orchestration frameworks. You will collaborate closely with product, engineering, manufacturing, R&D;, IT,
and business teams to convert operational challenges into scalable AI products deployed in real-world environments.
Your contributions will directly support improved quality, productivity, engineering efficiency, operational resilience, and innovation across the automotive sector.
Key Responsibilities
Design, develop, evaluate, and deploy AI solutions, including traditional machine learning, deep learning, generative AI, and agentic AI systems.
Design and implement generative AI applications using Azure OpenAI Service and other foundation model platforms, including enterprise copilots, intelligent assistants, document-processing systems, knowledge assistants, engineering support tools, and automated workflow solutions.
Develop Retrieval-Augmented Generation solutions using vector databases, embedding models, Azure AI Search, semantic search, document processing pipelines, reranking, grounding, citation mechanisms, and evaluation frameworks.
Design and implement agentic AI system
📌 Data Scientist (Pune)
🏢 Faurecia
📍 Pune