Stephen Batifol, data scientist at Wolt, shares insights on building an ML platform, developer relations, and creating a thriving internal community. They discuss the challenges of onboarding data scientists, importance of documentation, simplifying the developer experience, and expanding services. They also touch upon MLflow, Qflow, observability, training models with multiple countries, building trust through feedback, and attracting talent through talks and content sharing.
