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ey Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions.
Build and optimize machine learning models using Python, TensorFlow, PyTorch, and Scikit-Learn.
Develop applications leveraging LLMs, Prompt Engineering, RAG, Vector Databases, and Agentic AI frameworks.
Integrate AI solutions with enterprise applications through APIs and microservices.
Develop and maintain end-to-end ML pipelines and MLOps processes.
Fine-tune and deploy foundation models for domain-specific use cases.
Collaborate with business and technical teams to translate requirements into AI solutions.
Ensure model performance, scalability, security, and reliability.

Mandatory Skills
Robust proficiency in Python
Machine Learning & Deep Learning
Generative AI & Large Language Models (LLMs)
Prompt Engineering
RAG (Retrieval-Augmented Generation)
LangChain / LangGraph / CrewAI
Vector Databases (FAISS, Pinecone, ChromaDB)
TensorFlow / PyTorch
FastAPI / REST APIs
AWS / Azure / GCP
Git, CI/CD, Docker, Kubernetes

📌 Gen Ai Engineer Pune (India)
🏢 LTM
📍 India