Testing is a de facto standard in modern software development. With increasing awareness that comes with ML-Ops, testing becomes more important for the development and operation of machine learning-based components. In this talk we would like to share our view and solution for testing in the field of machine learning. We will present the applied testing strategy used and the lessons learned from the last four years of experience in operating idealo’s cataloging system.

Gunar Maiwald

Affiliation: idealo internet GmbH

Gunar Maiwald has a background in Computer Science. For the last 4 years he worked as an ML engineer at idealo.de. His professional programming path led him from Perl via TypeScript to Python.

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Tobias Senst

Affiliation: idealo internet gmbh

Tobias Senst is a Senior Machine Learning Engineer at idealo internet GmbH. Tobias Senst received his PhD in 2019 from the Technische Universität Berlin under the supervision of Prof. Thomas Sikora. He has more than 10 years of experience in Computer Vision and Video Analytics research.

At idealo, he switched from the world of images and videos to Natural Language Processing and is responsible for the operation and development of machine learning models in a productive environment.

• LinkedIn: https://linkedin.com/in/tobias-senst-08090b192
• Github: https://github.com/tsenst
• Medium: https://medium.com/@tsenst
• Google Scholar: https://scholar.google.de/citations?user=NKQ8Y9oAAAAJ&hl=de

visit the speaker at: Github