Lessons Learned From Hosting the ML Engineered Podcast (Charlie Interviewed on the ML Ops Community podcast)

Machine Learning Engineered

Feb 2 2021 • 1 hr 3 mins

Learn more about the ML Ops Community: https://mlops.community/ (https://mlops.community/) Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: https://cyou.ai/newsletter (https://cyou.ai/newsletter) Follow Charlie on Twitter: https://twitter.com/CharlieYouAI (https://twitter.com/CharlieYouAI) Subscribe to ML Engineered: https://mlengineered.com/listen (https://mlengineered.com/listen) Comments? Questions? Submit them here: http://bit.ly/mle-survey (http://bit.ly/mle-survey) Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ (https://www.givingwhatwecan.org/) Timestamps: 02:45 Intro 04:10 How I got into data science and machine learning 08:25 My experience working as an ML engineer and starting the podcast 12:15 Project management methods for machine learning 20:50 ML job roles are trending towards more specialization 26:15 ML tools enable collaboration between roles and encode best practices 34:00 Data privacy, security, and provenance as first class considerations 39:30 The future of managed ML platforms and cloud providers 49:05 What I've learned about building a career in ML engineering 54:10 Dealing with information overload Links: https://www.mlengineered.com/episode/josh-tobin (Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in Production) https://towardsdatascience.com/the-third-wave-data-scientist-1421df7433c9 (The Third Wave Data Scientist) https://www.youtube.com/watch?v=GvAyV8m8ICI (Practical ML Ops // Noah Gift // MLOps Coffee Sessions) https://cyou.ai/podcast/pavle-jeremic/ (Building a Post-Scarcity Future using Machine Learning with Pavle Jeremic (Aether Bio)) https://www.youtube.com/watch?v=Fu87cHHfOE4 (SRE for ML Infra // Todd Underwood // MLOps Coffee Sessions) https://www.youtube.com/watch?v=ShBod1yXUeg (Luigi Patruno on the ML Ops Community podcast) https://www.mlengineered.com/episode/luigi-patruno (Luigi Patruno: ML in Production, Adding Business Value with Data Science, "Code 2.0")