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How to Avoid Suffering in Mlops/Data Engineering Role

Posted Mar 10, 2021 | Views 325
# Presentation
# Case Study
# Machine Learning
# ML Platforms
# adyen.com
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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.

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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

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.

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SUMMARY

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.

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