• 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 • Act as a force multiplier by mentoring data scientists and machine learning engineers, raising the quality bar for machine learning across Lime