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

Key Responsibilities

Skill Requirements

Other Requirements