Role Summary :

Lead AI and Data Science strategy, architecture, and delivery while managing high-performing teams. Drive the development of scalable AI/ML and Generative AI solutions that solve business problems and deliver measurable impact.

Key Responsibilities :

- Lead AI/ML, Data Science, and GenAI initiatives from concept to production.

- Manage and mentor Data Scientists, ML Engineers, and AI Engineers.

- Define technical architecture and ensure scalable, secure AI solutions.

- Collaborate with business and engineering teams to identify AI opportunities.

- Drive MLOps best practices, model governance, and Responsible AI.

- Manage project delivery, stakeholder communication, and team performance.

Required Skills :

- Strong expertise in Machine Learning, Deep Learning, NLP, LLMs, RAG, and Generative AI.

- Proficiency in Python, SQL, PyTorch/TensorFlow, and ML frameworks.

- Experience with cloud platforms (AWS, Azure, or GCP), Databricks, Spark, Docker, Kubernetes, and MLOps.

- Proven experience leading enterprise AI projects and technical teams.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.

- 10 - 15+ years of experience in AI/ML, Data Science, or Analytics, with at least 5 years in technical leadership.