AI / ML Practice Head

Required Qualifications : -

Bachelor’s or Master’s degree in Computer Science, AI / ML, or related fields; PhD preferred.

15 to 18 years of experience in technology consulting or product engineering, with at least 5 years in AI / ML practice leadership.

Proven success in modernizing enterprise applications using AI / ML, cloud-native architectures, and microservices .

Deep expertise in Generative AI (LLMs, Transformers, RAG, Multi-Agent Systems) and emerging Agentic AI frameworks .

Proven expertise in :

AI / ML architecture, LLMs, RAG / GraphRAG pipelines, and agentic workflows.

Cloud ecosystems (AWS, Azure, GCP) and modernization tools (Azure Migrate, AWS Refactor Spaces, etc.).

Python, Node.js, or Java with hands-on experience in AI libraries (LangChain, HuggingFace, PyTorch, TensorFlow).

Knowledge graphs, vector search, and orchestration frameworks.

Hands-on understanding of cloud AI ecosystems (AWS Sagemaker, Azure AI, GCP Vertex AI) .

Strong experience with MLOps, LLMOps, and AI governance .

Excellent stakeholder management, business acumen, and communication skills.