Location: Munich, Germany Remote: Yes Willing to relocate: Yes, within Germany or to Norway/Denmark/Sweden. Technologies: Python, C++, Docker, Kubernetes, GC

Location: Munich, Germany Remote: Yes Willing to relocate: Yes, within Germany or to Norway/Denmark/Sweden. Technologies: Python, C++, Docker, Kubernetes, GCP, SQL, the Python ML/DS Stack (numpy, scipy, pandas, scikit-learn, matplotlib, Tensorflow, JAX). First experience in React+typescript (with next.js). Résumé/CV: https://www.nicholasjunge.com/cv.pdf https://www.nicholasjunge.com/cv.pdf Email: nicho[dot]junge[at]gmail[dot]com I'm a software dev with math/physics background, primarily focused on machine learning and data science/engineering. My main topics of study were theoretical physics, statistics, numerical analysis and ML. I have worked with some other tools that fit the broader "MLOps" job description too, like Docker/Kubernetes, primarily on GCP. I would like to continue my career in this space (ideally as an MLOps / Data Engineer). On the side, I have been contributing to a couple of FOSS projects, like Google Benchmark, JAX and ZenML. My latest project is pybm, a Python CLI for reproducibly benchmarking code throughout a git history. You can find it along with several other projects on my github at https://github.com/nicholasjng https://github.com/nicholasjng.