The MLOps Podcast π€ Feature stores and CI/CD for machine learning with Qwak.ai VP Engineering, Ran Romano
Aug 11, 2021
Ran Romano, VP Engineering at Qwak.ai, discusses the evolution of job titles in machine learning, challenges of using Jupyter notebooks in production, and the importance of adopting a CI/CD approach. They also talk about the challenges in scaling ML models to production, ensuring data reproducibility, and using open source solutions in their ML platform.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 β’ 2min
Evolution of Job Titles in Machine Learning
02:26 β’ 7min
The Challenges of Using Jupiter Notebooks in Production
09:45 β’ 2min
CI/CD in Machine Learning
11:41 β’ 4min
Challenges in Scaling ML Models to Production
15:27 β’ 17min
Ensuring Data Reproducibility in ML Projects
32:40 β’ 14min