Student Assistant (m/f/d) in Machine Learning Operations

klaus-tschira-stiftung; Heidelberg; Vor Ort; EUR 16.531 - 20.664; Teilzeit

Benefits dieser Stelle

Flexible working hours

Freedom to manage your own time

Meaningful work for a charitable cause

Zusammenfassung

A research institute in Heidelberg seeks a student assistant to support the TIGr-Team with the deployment, monitoring, and maintenance of machine learning models. The role involves building data pipelines, preparing training data, and maintaining ML infrastructure. Ideal candidates should have foundational knowledge of Python and Linux, along with basic experience in Git and Docker/Kubernetes. This flexible position offers meaningful work and allows for personal responsibility while studying.

Qualifikationen

• Solid foundational knowledge of Python and Linux systems.
• Basic experience with version control (Git) and container technologies (Docker/Kubernetes).
• Basic understanding of machine learning concepts.
• Interest in cloud technologies and automation.

Aufgaben

• Support for the deployment, monitoring, and maintenance of machine learning models.
• Building and automating data and model pipelines.
• Support for the preparation of training data.
• Maintaining the underlying ML and server infrastructure.
• Documenting MLOps processes.

Kenntnisse

Python

Linux systems

Version control (Git)

Container technologies (Docker/Kubernetes)

Machine learning concepts

Jobbeschreibung

HeiGIT (Heidelberg Institute for Geoinformation Technology) conducts research on and with geographic information and makes it freely available for the benefit of the environment and society—for example, for researchers, aid organizations, and associations.

Join us in developing solutions that benefit people and the environment.

We are looking for a student assistant (8-10 h/week) to support our TIGr-Team as soon as possible.

Your tasks:

• Support for the deployment, monitoring, and maintenance of machine learning models
• Building and automating data and model pipelines
• Support for the preparation of training data
• Maintaining the underlying ML and server infrastructure
• Documenting MLOps-processes

Your profile:

• Solid foundational knowledge of Python and Linux systems
• Basic experience with version control (Git) and container technologies (e.g., Docker/Kubernetes)
• Basic understanding of machine learning concepts
• Interest in cloud technologies and automation

What we offer:

• Flexible working hours – perfect alongside your studies
• Freedom to manage your own timewith a high degree of personal responsibility
• Work in a dedicated environment close to the university
• Meaningful workfor a charitable cause