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UID:pretalx-pyconde-pydata-2025-DPAPUA@pretalx.com
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DESCRIPTION:Scaling machine learning pipelines is no small feat - especiall
 y when you’re managing over 100 of them on AWS SageMaker. In this talk\,
  I’ll take you behind the scenes of how our team at idealo built a Git-b
 ased MLOps framework that powers millions of real-time recommendations eve
 ry minute.\n\nI’ll share the challenges we faced\, the solutions we impl
 emented\, and the lessons we learned while streamlining model versioning\,
  deployment\, and monitoring. This session is packed with actionable takea
 ways for ML engineers\, data scientists\, and DevOps professionals looking
  to simplify their MLOps workflows and operate efficiently at scale.\n\nWh
 ether you’re running a handful of pipelines or preparing to scale up\, t
 his talk will equip you with the tools and strategies to tackle MLOps with
  confidence.
DTSTAMP:20260421T232439Z
LOCATION:Europium2
SUMMARY:GitMLOps – How we are managing 100+ ML pipelines in AWS SageMaker
  - Bogdan Girman
URL:https://pretalx.com/pyconde-pydata-2025/talk/DPAPUA/
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