Build and deploy production-grade AI and machine learning systems, including agentic applications, internal developer tooling, orchestration, APIs, evaluation frameworks, guardrails, and scalable deployment pipelines. Partner with data scientists to productionize proofs of concept, tune and validate models, monitor performance, manage versioning, and ensure reliable, ethical, and scalable operations.

Lead and grow a data science team to build merchant registry and profiling capabilities. Define strategy, drive ML model development and deployment at scale, establish best practices, partner with Product and Engineering, and deliver measurable business outcomes while promoting reusable assets and Agile delivery.