Artificial Intelligence Engineer

At Havells’ state-of-the-art Centre for Research & Innovation (CRI), we are accelerating our Make in India mission by embedding AI and intelligent automation across engineering workflows. We are looking for a hands-on AI/ML Engineer who can build production-grade Deep Learning and Agentic GenAI systems that directly influence product design, engineering efficiency, and next‑generation innovation.

Position: AI/ML Engineer

Core Responsibilities

• Build scalable Deep Learning pipelines to train models on massive datasets (4B+ rows) with robust preprocessing and memory‑safe architectures.
• Design and implement Agentic AI systems including RAG pipelines, tool calling, memory structures, orchestrator flows, and evaluation harnesses.
• Build backend services using FastAPI to deploy AI agents and models with secure, production-ready APIs.
• Deploy surrogate models and AI services across local clusters and Azure environments, leveraging MLflow, CI/CD, and DVC.
• Work closely with mechanical and design engineers to integrate CAD awareness and design constraints into AI workflows.

Core Skill Requirements (Must‑Have)

1) Deep ML/DL + Large-Scale Data Engineering

2) Agentic AI Systems (End‑to‑End)

3) Deployment & MLOps

4) CAD Understanding + Engineering Design Thinking

Minimum Qualifications

• 2–5 years of hands-on experience in ML/DL + GenAI + engineering-focused applications.
• Strong Python skills; proficiency with PyTorch preferred.
• Delivered at least one ML system or GenAI agent to production (beyond notebooks).