discussion · T-Education
MLOps in Theory and Practice
April 12, 2024 · T-Education · HSE
A podcast discussion by representatives of Tinkoff and HSE on how MLOps theory taught at universities meets BigTech practice: from data engineering and ML engineering to app engineering, production model launches, and the role of LLMs in modern products.
Participants
- Dmitry Ushanov
- Evgeny Sokolov
- Alexander Polomodov
Discussion focus
- 01What is MLOps, and why is a good model alone not enough?
- 02How does university theory about data science and machine learning turn into BigTech practice?
- 03Where do data engineering, ML engineering, and app engineering overlap?
- 04Which processes are needed for models to work reliably in production?
- 05How do LLMs and the growing interest in AI change expectations for ML teams?
- 06Which engineering skills matter for students and specialists moving into MLOps?