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Learnings From Building the ML Platform at Mailchimp

The MLOps Blog

The data engineers for the data science/machine learning org were mainly tasked with bringing over data and copying data from the legacy stack over into GCP, which was where we were living. Or would data scientists just train a model, package it into a Docker image and then it was kind of closed? Airflow was a big tool that we used.

ML 52