Technical Lead

Experience: 4 to 6 years

Location: Chennai, India

Skills: Deep Learning, Computer Vision, AI model lifecycle, Generative AI, LLM, PyTorch, TensorFlow, Keras, RAG, prompt engineering, Python, ML algorithms, Linear Regression, Logistic Regression, Random Forest, Decision Trees, XGBoost, vector databases, FAISS, Pinecone, Milvus, AWS, Azure, problem-solving, leadership

Job Summary
JD:
Key Responsibilities
• Lead design, development, and optimization of AI/ML models for industrial inspection use cases.
• Build and fine‑tune deep learning models using PyTorch, TensorFlow, and Keras.
• Drive projects involving Generative AI, Agentic AI platforms, and advanced model engineering.
• Implement RAG pipelines, prompt engineering strategies, and vector database integrations for intelligent retrieval systems.
• Architect cloud‑native AI solutions on AWS/Azure.
• Develop, evaluate, and deploy ML algorithms such as Linear/Logistic Regression, Random Forest, Decision Trees, XGBoost, etc.




• Build robust Python-based pipelines for data processing, feature engineering, and model deployment.
• Collaborate with cross‑functional teams to translate complex business needs into scalable technical solutions.
• Mentor junior engineers and contribute to technical best practices.

Required Skills:
• Robust proficiency in Deep Learning, Computer Vision, AI model lifecycle, GenAI and LLM in Industrial Inspection areas.
• Hands‑on experience with PyTorch, TensorFlow, Keras.
• Working knowledge of Generative AI, RAG, and prompt engineering.
• Expertise in Python and ML algorithms.
• Experience with vector databases (FAISS, Pinecone, Milvus, etc.).
• Cloud proficiency in AWS or Azure.
• Strong problem‑solving, communication, and leadership skills.
Yrs of exp- 4 to 6 yrs
Qualification:
BE / MCA
Key Responsibilities
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Skill Requirements
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Other Requirements
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📌 Technical Lead (Chennai)
🏢 HCL Technologies
📍 Chennai