AI ML Lead

Role & responsibilities :

We are looking for a hands-on AI/ML Engineering Lead to architect and lead an internal GenAI/Agentic AI project while leading and mentoring a team of fresh AI/ML engineers.

This is not a trainer role. The Lead will mentor engineers through live project development, own the technical architecture and delivery, and progressively build the team into client-deployable AI engineers within ~6 months.

• Architect, design and lead development of internal GenAI/Agentic AI products.
• Lead and mentor a team of fresh/junior AI/ML engineers through real project execution.
• Break the project into modules, assign ownership and drive delivery.
• Conduct architecture, code and design reviews.
• Remain hands-on with critical and complex technical components.
• Build production-grade solutions using Python, LLMs, RAG, LangChain, LangGraph, MCP and AI Agents.
• Guide engineers on software engineering, testing, APIs, deployment and cloud practices.
• Establish coding, architecture, security, evaluation and deployment standards.
• Identify skill gaps and progressively increase engineers' technical ownership.
• Ensure engineers become capable of independently contributing to enterprise/client AI projects within approximately 6 months.
• Evaluate emerging AI technologies and incorporate relevant capabilities into internal projects.
• Cascade and implement the organization's AI-first vision within the engineering team.
• Collaborate with technology, delivery and business teams to align internal AI capabilities with client requirements.

Location: Gurgaon

Interested candidates can share their resumes at [email removed]