Meetup #55

How to Avoid Suffering in Mlops/Data Engineering Role

Building Data Science and Machine Learning platforms at a scale-up. Having the main difficulty in finding correct processes and basically being a toddler who learns how to walk on a steep staircase. The transition from homegrown platform to open source solutions, supporting old solutions and maturing them with making data scientists happy.

In this episode

Igor Lushchyk

Igor Lushchyk

Data Engineer, Adyen

I'm a software engineer with more than 10 years of experience. With background in bioinformatics, even started PhD but didn't finish it. As a data engineer I'm working for the last 6 or 7 years, or maybe more - cause I was doing almost the same data eng stuff but my position was named differently. Last 4-5 years also doing a LOT OF ml ops. Even don't know what I was doing more - data eng or mlops.

LinkedIn

Demetrios Brinkmann

Demetrios Brinkmann

Host

Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.