Lead AI Engineer - Data Science

Designation : Lead AI Engineer - Data Science

Location : Chennai (Hybrid) (3 days in office)

About the Role :

We are hiring a senior AI/ML engineer to join a cutting-edge semiconductor technology team working on next-generation process control and defect inspection systems. If you love hard problems at the intersection of AI, imaging, and manufacturing, this is built for you.

What You'll Work On :

- Design and build production-grade ML/DL pipelines for defect detection and process control in semiconductor manufacturing

- Develop and deploy LLM-powered systems including RAG pipelines, prompt engineering, and agentic AI workflows

- Work with high-dimensional image and sensor data using CNNs, Transformers, and classical ML

- Build and optimize vector search systems using FAISS, Milvus, or similar

- Contribute to full-stack AI solutions from prototyping to deployment

- Strong Python - data structures, algorithms, NumPy, Pandas, Scikit-learn

- Deep expertise in PyTorch or TensorFlow/Keras

- CNNs, RNNs, LSTMs, Transformers, Attention - hands-on, not just theoretical

- LLMs and RAG - Hugging Face, vector databases, function/tool calling, JSON schema outputs

- Agentic AI experience is non-negotiable - building multi-step autonomous AI agents

- NLP experience - tokenization, embeddings, fine-tuning

- SQL, Git, Docker basics

Qualifications :

- Degree Experience Required

- PhD 6+ years of relevant AI/ML experience

- M.Tech / M.S. 8+ years of relevant experience

- B.Tech / B.E. 10+ years of relevant experience

Preferred institutions : IITs, IISc, IIITs, NITs, BITS Pilani, or Tier 1/2 regional engineering colleges.

Target Background :

- Prior experience in a product company, semiconductor, hardware, or engineering manufacturing domain is a strong requirement

- Candidates from engineering product companies will be prioritized

Nice to Have :

- Image processing and computer vision experience

- Familiarity with wafer/fab process control domains

- Experience with ensemble methods (XGBoost, LightGBM) and model optimization

Why This Role :

- Work on real-world, high-impact AI systems used in global chip manufacturing

- Deep tech environment - physicists, engineers, and data scientists collaborating on frontier problems