Klaviyo Data Science Podcast EP 46 | ML Ops 101
Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…
An Introduction to ML Ops
Building data science products requires many things we’ve discussed on this podcast before: insight, customer empathy, strategic thinking, flexibility, and a whole lot of determination. But it requires one more thing we haven’t talked about nearly as much: a stable, performant, and easy-to-use foundation. Setting up that foundation is the chief goal of the field of machine learning operations, aka ML Ops.
This month on the Klaviyo Data Science Podcast, we give a brief but thorough introduction to the field of ML Ops. You’ll hear about:
- How ML Ops is different from the similar fields of data science and DevOps
- What skills a successful ML Ops developer should have, and what an ML Ops developer’s day-to-day looks like
- Why concepts like “velocity” and “stability” have their own special nuances in the world of ML Ops
“We care about people being able to produce code quickly and produce a new product feature quickly. But they also need to be able to do that at the experimentation phase — they may need to produce a ton of different versions of a model. They also need to be able to do hyperparameter tuning, they also need to be able to discover datasets quickly. Velocity is still a good metric, but there are a lot of different versions of it.”
— Spencer Barton, Engineering Manager
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About Klaviyo
Klaviyo powers smarter digital relationships. We make it easy for B2C businesses to transform all their data into more valuable customer experiences across every touchpoint — from email and SMS to the web and reviews. More than 135,000 businesses rely on Klaviyo to grow their revenue faster and more efficiently. Interested in joining us? We’re always looking for great people to join our team.
Who’s who
- Michael Lawson, Data Science Manager
- Zach Willert, Senior Data Scientist
- Spencer Barton, Engineering Manager
- Smit Kiri, Senior Machine Learning Engineer
- Gal Korcia, Lead Machine Learning Engineer
- Cayla Schuval, Machine Learning Engineer II
Logo by: Griffin Drigotas from Klaviyo Design
