From Data Engineering to MLOps: Building a Scalable ML Platform - Reverb's Evolution

Learn from a conference talk that explores Reverb's transformative journey from traditional data engineering to advanced MLOps capabilities. Follow along as Sam Hallam details the essential steps, challenges, and strategic decisions made while building a scalable machine learning platform. Discover practical approaches to creating developer-friendly ML infrastructure, implementing efficient model deployment processes, and establishing robust monitoring systems for both cost and performance. Gain actionable insights into leveraging Ray and Anyscale technologies to enhance ML operations, making this session particularly valuable for data teams looking to expand their expertise into MLOps and create sophisticated ML infrastructure solutions.