Your mission As a working student in our Model Serving & Experimentation team, you will: • Support the deployment and operation of ML models and experiments. • Help set up and maintain pipelines for training, testing, and monitoring models. • Assist in using Docker and Kubernetes to run models in scalable environments. • Collaborate with engineers and data scientists to improve workflows and automation. • Learn by doing: you will see ML models go from research prototypes to production systems. Your profile Technical • Bachelor/Master student in Computer Science, Data Science, or a related field. • Good academic performance (strong grades in relevant courses). • Basic knowledge of Python. • Interest or first experience with Docker and Kubernetes. • Basic understanding of machine learning concepts. Personal • You are a quick learner and have excellent analytic skills • You are an open-minded and communicative team player • Excited about working in a dynamic startup environment. • Motivated to gain practical skills and contribute to meaningful projects. • Good written and spoken English. Why us? COMPREDICT means exciting experience and insights in a quickly growing startup. Our team is international and interdisciplinary. All colleagues work together on all projects and give mutual support for all kinds of challenges. As it is typical for startups, our work is characterized by agility. Exciting projects with German and international automotive manufacturers are waiting for you! About us COMPREDICT is driving the paradigm shift towards software-defined vehicles, offering next-level solutions for sustainable mobility. Founded in 2016 in Darmstadt, Germany, by Dr. Rafael Fietzek and Dr. Stéphane Foulard, our focus lies in developing Virtual Sensors for Mobility to optimize vehicle design, usage, and maintenance. We partner with and serve automotive manufacturers and Tier1 companies worldwide. With a diverse team of 35 members from 10 different nations, we are on an exciting journey of growth and innovation.