Navigating the MLOps Landscape

Our guest today is Başak Eskili, Machine Learning Engineer at Booking.com and C-Founder of Marvelous MLOps.

In our conversation, we first dive into MLOps, its key components and how Başak got into the field. We then talk about Marvelous MLOps and her new course: "End to end MLOps with Databricks". Başak finally shares more about her current role at Booking with a focus on building feature stores.

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From beginner to advanced LLM developer course by Towards AI (use the code AISTORIES10 to get a 10% discount): https://academy.towardsai.net/courses/beginner-to-advanced-llm-dev?ref=63e5e3

To learn more about Marvelous MLOps: https://www.marvelousmlops.io/

End to End MLOps course with Databricks: https://maven.com/marvelousmlops/mlops-with-databricks

Follow Başak on LinkedIn: https://www.linkedin.com/in/ba%C5%9Fak-tu%C4%9F%C3%A7e-eskili-61511b58/

Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/  

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(00:00) Intro  

(02:18) How Başak Got into AI & MLOps  

(06:55) Key Components of MLOps  

(12:05) Deploying First ML Model  

(15:58) Joining Booking.com  

(18:11) Best Practices for Building Scalable and Reliable ML Systems  

(23:01) Databricks 

(27:50) Batch vs. Real-Time Predictions  

(31:15) Marvelous MLOps  

(33:52) Role at Booking.com  

(35:45) Feature Stores 

(45:45) Career Advice