Design, build, deploy, manage and maintain end-to-end data processes, data products and related solutions such as AI/ML models and simulation models; on a variety of data platforms on the Government Commercial Cloud as well as on-premise setups;
Feature Engineering Pipelines: Build and maintain reliable, versioned feature engineering pipelines that transform raw engineering, sensor, and operational data into structured ML-ready feature sets — delivered to the specification defined
Team Leadership Serve as the Snowflake subject matter expert by providing guidance on design patterns, delivery methodologies and best practices to ensure high-quality implementation
Own the AI-ready data and harness engineering strategy, technical roadmap, and capability architecture, aligned to the enterprise AI stack and senior AI executive's agenda.
Lead the delivery of end-to-end data engineering engagements, including data architecture, data integration, platform modernization, and cloud migration initiatives.
Lead the team to achieve breakthroughs research in AI data science and engineering, addressing challenges in data synthesis, system construction, and curriculum design to achieve industry-leading results.