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