Location: Munich, Germany
Remote: Yes
Willing to relocate: Yes, but only within Germany or to Norway
Technologies: Python, C++, Docker, Kubernetes, GCP, AWS, SQL, the Python ML/DS Stack (pandas, scikit-learn, numpy, scipy, matplotlib, Tensorflow, JAX), first experience in Typescript/React (with next.js).
Résumé/CV: 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. I can operate some other tools that fit the broader "MLOps" job description too, like Docker/Kubernetes, and some ML-related products of GCP and AWS. I did some webdev work in training visualizations for ML algorithms and for my personal website.
My main topics of study were statistics, ML, and analysis; I am fit in theoretical ML/DL concepts and numerical programming, allowing me to develop and implement performant algorithms.
On the side, I have been contributing to a couple of OSS projects, e.g. Google Benchmark and JAX. My latest project is pybm, a Python CLI for reproducibly benchmarking code throughout a git history. You can find it along with several other smaller projects in my github profile at https://github.com/nicholasjng.