Building an ML Platform: Insights, Community, and Advocacy // Stephen Batifol // #178

Oct 3, 2023

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.

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Introduction

00:00 • 2min

Building a Community and Simplifying the Developer Experience

01:38 • 5min

Expanding Services and ML Platform Overview

06:18 • 2min

MLflow, Qflow, and the Challenges of MLOps

08:25 • 6min

Observability and Monitoring in ML Platform

14:22 • 4min

Training Models with Multiple Countries

18:10 • 10min

Building Trust and Engagement through Feedback and Quick Wins

28:28 • 2min

Evangelizing and Attracting Talent

30:09 • 16min

MLOps Coffee Sessions #178 with Stephen Batifol, Building an ML Platform: Insights, Community, and Advocacy. // Abstract Discover how Wolt onboard data scientists onto the platform and build a thriving internal community of users. Stephen's firsthand experiences shed light on the importance of developer relations and how they contribute to making data scientists' lives easier. From top-notch documentation to getting-started guides and tutorials, the internal platform at Wolt prioritizes the needs of its users. // Bio From Android developer to Data Scientist to Machine Learning Engineer, Stephen has a wealth of software engineering experience at Wolt. He believes that machine learning has a lot to learn from software engineering best practices and spends his time making ML deployments simple for other engineers. Stephen is also a founding member and organizer of the MLOps.community Meetups in Berlin. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links ⁠ --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Stephen on LinkedIn: https://www.linkedin.com/in/stephen-batifol/ Timestamps: [00:00] Stephen's preferred coffee [00:32] Takeaways [01:35] Please like, share, and subscribe to our MLOps channels! [03:00] Creating his own team! [04:44] DevRel [06:32] The door dash of Europe [11:28] Data platform underneath [12:55] Cellular core deployment uses open source [14:21] Alibi [16:08] Kafka [16:59] Selling points to data scientists [20:05] Language models concerns of data scientists [22:12] Incorporating LLMs into the business [23:55] Feedback from data scientists and end users [27:37] User surveys [30:11] Evangelizing and giving talks [35:25] Tech Hub Culture in Berlin [38:38] Kubernetes lifestyle [42:55] Interacting with SREs [45:28] Wrap up