Maria Vechtomova, Marvelous MLOps
MLOps isn’t just about getting models into production. It’s about making them reliable, traceable, and easy to maintain. In this workshop, we’ll explore the core principles of MLOps and put them into practice, focusing on traceability and reproducibility in real-world ML systems.
While the principles are tool-agnostic, we’ll demonstrate them using MLflow and Databricks: tracking models, deploying pipelines, and showing how these practices help you move fast without breaking production.
Maria Vechtomova is in the Data and AI for almost 12 years, focusing most of her career on MLOps. Maria believes that everyone should learn MLOps, as machine learning models only start living once in production. She is a co-founder of Marvelous MLOps, teaching courses on Maven: MLOPs and LLMOps with Databricks, and writing a book for O'Reilly.
author = {Maria Vechtomova},
title = {Introduction to {MLOps}},
year = {2025},
address = {Dublin},
publisher = {USENIX Association},
month = oct
}