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ML platform teams, features stores, versioning in data pipelines, and where MLOps extends DevOps with Aurimas Griciūnas and Piotr Niedźwiedź

ML Platform Podcast

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Introduction

Piotr Niedzvij is one of the most active and followed MLOps people on LinkedIn. Seven months ago, it would be hard to find you on LinkedIn. He has tried a lot of hats in his career: data analyst, machine learning engineer, cloud engineer,. And now in his final role, he is actually an MLOps engineer.

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