Systems Engineer Navigating the World of ML
Speakers

Andrew is a software engineer at Union and contributor to Flyte, a production grade data and ML orchestration platform. Prior to that he was a tech lead for ML Infrastructure at Meta, where he focused on ML training reliability.

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

David is one of the organizers of the MLOps Community. He is an engineer, teacher, and lifelong student. He loves to build solutions to tough problems and share his learnings with others. He works out of NYC and loves to hike and box for fun. He enjoys meeting new people so feel free to reach out to him!
SUMMARY
We don't hear that much about working at a very low level on this podcast but they are still very valid. Andrew is able to give us his take on why and what you need to keep in mind when you are working at these low levels and why it is very important when you are a Machine Learning Engineer and how the two can play together nicely.
Most MLOps teams are formed using existing people and exitsing engineers. More often than not you have to blend these various disciplines and it works well when there's a common goal.

