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.
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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/
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(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
