The role involves leading the design, implementation, and scaling of the company's ML infrastructure and production AI systems across the entire model lifecycle. This includes architecting, building, and scaling the end-to-end ML Ops pipeline, from training and evaluation to deployment and monitoring.

The role involves building and maintaining infrastructure on AWS, Terraform, and Kubernetes to support AI/ML, including Generative AI applications at scale. Responsibilities also include managing the end-to-end lifecycle of ML models, ensuring observability, and developing tooling to streamline model development and deployment for AI/ML Scientists.

Senior ML Ops Engineer maintaining AI/ML infrastructure at Sprout Social

Staff Machine Learning Engineer at Angi developing impactful algorithms for matchmaking and search ranking.