Lead Machine Learning Engineer at Union Investment
Mannheim, Baden-Württemberg, Germany
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Summary
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Senior
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Top School
Niklas Keck is a Lead Machine Learning Engineer based in Mannheim with a decade of experience bridging GIS, remote sensing and production ML systems. He has moved from hands-on remote sensing research—building multitemporal feature libraries and Sentinel-based detection pipelines—to operating high-performance, distributed CI/CD and cloud infrastructure at SAP and now leading ML engineering at Union Investment. His background in geographical information science gives him a practical edge in feature engineering for spatiotemporal data and designing scalable cloud workflows for analytics. Colleagues describe him as equally comfortable authoring reproducible remote-sensing libraries and hardening the backend tooling that keeps models shipping reliably. He holds an MSc with distinction and brings a pattern-focused mindset: turning complex environmental data problems into robust, automatable pipelines.
10 years of coding experience
10 years of employment as a software developer
Abitur, 1.4, Abitur, 1.4 at Rudolf-Steiner-Schule Dortmund
PROMOS scholarship (1 term), PROMOS scholarship (1 term) at Tyumen State University
Master of Science - MS, Geographical Information Science & Systems, Pass with distinction, Master of Science - MS, Geographical Information Science & Systems, Pass with distinction at Universität Salzburg
Bachelor’s Degree, Environmental Science, 1.5, Bachelor’s Degree, Environmental Science, 1.5 at Universität Koblenz-Landau, Campus Landau
Exchange Student (1 term), Exchange Student (1 term) at Christchurch Rudolf Steiner School
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