Drive alignment across teams on ML strategy, standards, and long-term technical direction by serving as a technical leader for Lime’s ML Center of Excellence
Guide recommendations for ML infrastructure, tooling, and architecture (training, serving, feature stores, experimentation, monitoring)
Define and evolve ML development processes, including model review, experimentation rigor, deployment, optimization, and operations
Establish best practices for ML monitoring, observability, alerting, and model performance health in production
Drive reusable feature development patterns and shared ML capabilities that enable teams to move faster and more safely
Partner with platform, data, and product engineering teams to ensure ML systems are reliable, scalable, and cost effective
Identify and prioritize opportunities where ML will improve Lime’s product, operations, or efficiency