Werkstudent/in Machine Learning Operations (m/w/d)

Das brauchst du

Wir bieten eine inklusive Arbeitsumgebung, in der alle Menschen ihre Fähigkeiten und Talente entfalten können, unabhängig von Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Alter, sexueller Orientierung, Identität und anderen Merkmalen.

Darum lohnt es sich

Aufgaben • Support MLOps Engineers in building and maintaining end-to-end ML workflows, from data preparation and model training to testing and deployment • Assist in setting up and improving reproducible ML training pipelines and experiment workflows • Help prepare, validate, and manage datasets used for ML model training, evaluation, and testing • Support the execution, comparison, and documentation of ML model experiments, including relevant metrics and configurations • Assist in monitoring ML pipelines, model performance, system availability, and resource usage through dashboards • Perform maintenance and troubleshooting tasks for ML-related IT systems such as JupyterHub, CI pipelines, and compute environments Qualifikationen • Strong interest in understanding end-to-end ML processes in practice and contributing to different parts of the ML pipeline • Motivated to build reliable, robust, and well-structured IT and MLOps processes, with a fundamental interest in understanding how systems work • Analytical problem‑solving skills, attention to detail, and the ability to identify areas for improvement • Good programming skills, preferably in Python, and ideally experience from practical programming projects • Experience with Linux server administration; knowledge of Docker or virtualization is a plus • Nice to have basic knowledge of Machine Learning, Grafana or dashboarding tools, GitLab CI/CD pipelines, or Kubernetes • Open and proactive communication style, including willingness to ask questions, seek support, and collaborate with the team Unser Angebot • Flexible Arbeitszeitmodelle • Training & Weiterbildung • Karriereplanung • Gesundheitsvorsorge • Kein Dresscode • Firmen-/Teamevents • Familienservices • Attraktive Standorte • Social incentives • Agile Softwareentwicklung • Bonus Bei Rohde & Schwarz fördern wir Chancengleichheit und begrüßen Bewerbungen von Menschen mit und ohne Behinderung.