Building an ML Platform: Insights, Community, and Advocacy - MLOps Coffee Sessions

Explore a 46-minute podcast episode featuring Stephen Batifol discussing the process of building an ML platform, fostering community, and promoting advocacy. Gain insights into Wolt's approach to onboarding data scientists, creating a thriving internal user community, and prioritizing developer relations. Learn about the importance of comprehensive documentation, getting-started guides, and tutorials in simplifying data scientists' workflows. Discover Stephen's journey from Android developer to Machine Learning Engineer and his perspective on applying software engineering best practices to machine learning. Delve into topics such as DevRel, data platforms, open-source deployments, and the integration of language models in business. Gain valuable knowledge about gathering user feedback, conducting surveys, and evangelizing ML platforms. Explore the tech hub culture in Berlin, Kubernetes lifestyle, and interactions with Site Reliability Engineers (SREs) in this informative discussion on MLOps and ML platform development.