Software Development

Working Student Machine Learning Operations (m/f/d)

Apply now

Contact

Your Rohde & Schwarz recruiting team is looking forward to receiving your application.

Info

City/region: Leipzig (Germany)
Entry level: Working students
Employment Type: Part-time, limited
Ref. Number: 1119

Job Summary

Support us in developing and maintaining our machine learning models! Our young team is currently scaling a high-performance IT infrastructure for computationally intensive ML processes and is looking for you as a working student (m/f/d) to actively support us in our daily operations. By contributing to CI pipelines, JupyterHub, and other systems, you will help reduce downtime, accelerate our development cycles, and assist us in successfully scaling even more robust models in the future.

Tasks

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

Exciting insights into Rohde & Schwarz

Our colleagues provide insider information about:

Daily adventures and challenges
Our passionate team
The technologies behind the innovative projects and solutions

Qualifications

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

Contact and further information

We welcome your application! Submissions are preferred online via the application portal. For questions, our chatbot Paul and the recruiting team are available at any time.

Rohde & Schwarz promotes equal opportunities and welcomes applications from people with and without disabilities. We offer an inclusive work environment where all individuals can develop their skills and talents regardless of gender, nationality, ethnic and social background, religion, worldview, age, sexual orientation, identity, and other characteristics.

Apply now

At Rohde & Schwarz, we develop and produce solutions in the fields of Test & Measurement, Technology Systems, and Networks & Cybersecurity – driven by the vision of a safer and connected world. From software to final production, our more than 15,000 employees create products and systems that set global standards and enable technological sovereignty for industrial, regulatory, and government customers worldwide. Our headquarters, located in the heart of Munich, also serves as our main development site. ipoque – A Rohde & Schwarz Company is a global leader in IP network analysis. Our deep expertise in IP network analysis enables our customers to gain actionable insights from IP data.