Job Summary
JD: Key Responsibilities 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. Work on 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. Work 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. Required Skills: Strong proficiency in Deep Learning, Computer Vision, OCR, AI model lifecycle, GenAI and LLM in Industrial application areas. Hands?on experience with PyTorch, TensorFlow, Keras. Working knowledge of Generative AI, RAG, Graph database and prompt engineering. Worked in Document Intelligence projects Worked in Agentic AI development 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-3 to 5 yrs
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