Build and productionize traditional machine learning models, owning feature engineering, validation, deployment, monitoring, drift detection, and retraining. Develop LLM-powered agentic tools, dashboards, self-serve analytics products, and automated insight pipelines. Partner with engineering and business stakeholders, write production-grade Python and SQL, drive adoption, improve data quality, and establish responsible AI workflows for a regulated industry.

Intern will support BizOps-led AI transformation: build and maintain an internal AI knowledge layer, manage knowledge and documentation, create executive-ready decks and financial models, run AI enablement, coordinate cross-functional initiatives, and measure AI adoption and impact.