
Super Data Science: ML & AI Podcast with Jon Krohn 599: MLOps: Machine Learning Operations
Aug 9, 2022
Mikiko Bazeley from Mailchimp shares insights on MLOps, its tools and skills for data scientists. She discusses hiring factors and productivity tricks for balancing engineer roles and athletic pursuits. The podcast explores parallels between DevOps and MLOps, transitioning from data scientist to MLOps engineer, and highlighting innovation and leadership in engineer interviews.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Intro
00:00 • 2min
Personal Connections and Interview Preparation
02:07 • 9min
Exploring Machine Learning Operations and Its Transformative Impact
11:04 • 19min
Similarities between DevOps and MLOps
29:34 • 25min
Transitioning from Data Scientist to MLOps Engineer
54:43 • 15min
Highlighting Innovation, Leadership, and Humility in Engineer Interviews
01:09:50 • 3min
Productivity Tips and MLOps Insights
01:12:44 • 7min
Exploring MLOps and Essential Skills for Data Scientists
01:19:34 • 2min

