Role & responsibilities :

- Lead the design and delivery of end-to-end AI/ML and Generative AI solutions.

- Architect, develop, deploy, and monitor production-grade ML models and LLM-powered applications.

- Design scalable Agentic AI solutions leveraging modern AI frameworks and best practices.

- Drive MLOps/LLMOps adoption, model governance, monitoring, and lifecycle management.

- Collaborate with business leaders and stakeholders to define AI strategy and solution roadmaps.

- Provide technical leadership, mentor data scientists and engineers, and ensure successful project delivery.

- Champion Responsible AI practices, security, compliance, and AI governance standards.

Tech Stack :

- Classical Machine Learning, Generative AI, Agentic AI, NLP, LLMs, RAG, Prompt Engineering, MLOps / LLMOps, Python, SQL, Databricks, Azure/AWS.

Preferred candidate profile :

- 8+ years of experience in Data Science, Machine Learning, and AI.

- Strong experience in AI/ML Solution Architecture, System Design, Model Development, Deployment, and Enterprise AI Implementations.

Leadership & Consulting Experience :

- Proven experience in solution design and technical leadership.

- Strong stakeholder and client management skills.

- Ability to mentor and guide high-performing data science teams.

- Strong communication, presentation, and consulting skills.

Good to Have :

- Azure AI Services, AI Foundry, and Databricks Certifications.

- Experience with AI coding assistants (Claude, Cursor) and multi-agent frameworks.