Podcast Beyond Coding Live - the ML Ops mindset

MLOps – Beyond Coding Podcast

Making a Proof of Concept is easy, pushing products to where they are actually being used is much harder. ML Ops, aka my day-to-day work, is to make this process more smooth and more efficient, applying both software engineering and data science best practices. – Julian de Ruiter, Machine Learning Engineer at GoDataDriven

In this episode of Beyond Coding Podcast (#29), host Patrick Akil discusses the true MLops mindset with machine learning engineers Julian de Ruiter and Roman Ivanov. This podcast was recorded in front of a live audience during the GoDataFest & Club Cloud 2021 conferences.

Topics include:

  • A definition of what a machine learning model is
  • The right way to bring a model into production
  • Common challenges for machine learning engineers


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Questions or challenges with ML Ops?

Contact Julian de Ruiter, Machine Learning Engineer at the GoDataDriven, if you want to know more. He’ll be happy to help you!