MLOps Journey at Wolt

Name: MLOps%20Journey%20at%20Wolt
Uploaded: 2023-03-14T12:21:27.245Z

Posted Mar 14, 2023 | Views 800

# Wolt

# MLOps platform

# Kubernetes

Stephen Batifol

Developer Advocate @ Zilliz

From Android developer to Data Scientist to Machine Learning Engineer, Stephen has a wealth of software engineering experience. 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.

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SUMMARY

Forecasting supply and demand, serving restaurant recommendations, and predicting delivery times. These are just a few examples of how Machine Learning is being applied at Wolt. Now with over 20 million users, scaling the ML infrastructure has been a significant challenge.

This talk highlights those challenges and how they were addressed by building an end-to-end MLOps platform on Kubernetes. You'll learn about the open-source frameworks that Wolt integrated, specifically Flyte, MLFlow, and Seldon Core.

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