Optimizing MLOps Through Best Practices

Our guest today is Maria Vecthomova, ML Engineering Manager at Ahold Delhaize and Co-Founder of Marvelous MLOps.

In our conversation, we first talk about code best practices for Data Scientists. We then dive into MLOps, discuss the main components required to deploy a model in production and get an overview of one of Maria's project where she built and deployed a fraud detection algorithm. We finally talk about content creation, career advice and the differences between an ML and an MLOps engineer.

If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.

Link to Train in Data courses (use the code AISTORIES to get a 10% discount): https://www.trainindata.com/courses?affcode=1218302_5n7kraba

Check out Marvelous MLOps: https://marvelousmlops.substack.com/

Follow Maria on LinkedIn: https://www.linkedin.com/in/maria-vechtomova/

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

---

(00:00) - Intro

(02:59) - Maria’s Journey to MLOps

(08:50) - Code Best Practices

(18:39) - MLOps Infrastructure

(29:10) - ML Engineering for Fraud Detection

(40:42) - Content Creation & Marvelous MLOps

(49:01) - ML Engineer vs MLOps Engineer

(56:00) - Stories & Career Advice