Student Assistant in Machine Learning Operations (MLOps) | Student Assistant (m/f/d) in Machine Learning Operations
HeiGIT gGmbH
Job Summary
This role offers an exciting opportunity for a student to support the Heidelberg Institute for Geoinformation Technology (HeiGIT) in developing geographic information solutions for social and environmental benefits. As a Student Assistant in the TIGr-Team, you will focus on the practical application of Machine Learning Operations (MLOps). Your day-to-day responsibilities include supporting the deployment, monitoring, and maintenance of machine learning models, as well as building and automating data pipelines. You will also assist in preparing training data and maintaining critical server infrastructure. This position is ideal for students looking to gain hands-on experience with cloud technologies and automation in a charitable research environment. The role is highly flexible, designed to fit around university schedules, and encourages a high degree of personal responsibility while contributing to meaningful, real-world projects.
Required Skills
Education
Current enrollment in a university degree program (Student status required).
Experience
- Foundational knowledge of Python and Linux systems
- Basic experience with version control tools like Git
- Basic experience with container technologies such as Docker or Kubernetes
- Basic understanding of machine learning principles
- Interest in cloud infrastructure and process automation
Languages
Additional
- Workload is 8-10 hours per week. Position is based in Heidelberg, Germany, close to the university.