Role Overview

We are looking for a Tech Lead AI/ML to architect and deliver production-grade AI/ML solutions while leading a team of engineers. The role involves working with clients and internal teams to transform business requirements into scalable solutions from POC MVP Production.

Key Responsibilities :
- Design scalable AI/ML and Generative AI architectures for enterprise applications.
- Lead solutions involving ML, Deep Learning, LLMs, RAG, Agentic AI, NLP, Computer Vision, and Multimodal AI.
- Build LLM applications using OpenAI, Claude, Gemini, Llama, etc.
- Design RAG pipelines, vector search, embeddings, prompt engineering, tool calling, and AI agents.
- Work with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, etc.
- Lead model development, evaluation, optimization, and deployment.
- Design AI infrastructure using AWS/Azure/GCP, Docker, Kubernetes, and MLOps.
- Mentor engineers,



conduct code/design reviews, and drive technical decisions.
- Participate in client discussions, solution design, POCs, technical proposals, and pre-sales.
- Evaluate emerging AI technologies and drive innovation.

Required Skills:
- Solid Python, Machine Learning, and Deep Learning experience.
- Hands-on experience with PyTorch/TensorFlow/Scikit-learn.
- Strong expertise in Generative AI, LLMs, RAG, and Agentic AI.
- Experience with FastAPI/Flask/Django, REST APIs, PostgreSQL/MongoDB.
- Experience with AWS/Azure/GCP, Docker, CI/CD, and MLOps.
- Strong technical leadership, architecture, client communication, and mentoring skills.
- Experience handling international clients is preferred.

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