Working student Machine Learning Engineer /x)

• As a working student (d/m/f/x), you are responsible for the creation, refinement, and management of machine learning pipelines.
• In addition, you develop and optimize big data pipelines for machine learning applications and support the operation of machine learning environments in the cloud.
• As part of conceptual and exploratory analyses, you ensure that data is better understood and can be used effectively to generate value.
• You actively support ongoing client projects in the selection, development, and integration of the latest technologies such as GenAI and deep learning.
• As part of an agile product development team, you work closely with experienced developers (d/m/f/x) from various disciplines.

Ready to get started? If you impress us with proven excellent German and English skills and submit your complete application documents (cover letter, CV, transcript of records, certificate of enrollment, and, if applicable, residence permit/work permit), you're just one click away from your opportunity., * You have experience in software development with Python and are familiar with Docker.

• In addition, you have knowledge of machine learning and have already gained some initial experience in a cloud environment (Azure, AWS, or Kubernetes).
• Ideally, you have already gained some initial experience in full-stack development, including frontend work.
• Furthermore, you are familiar with machine learning environments such as Databricks or Azure ML.
• Very good German and English skills, both written and spoken, complete your profile, and you are motivated to work regularly on-site in Karlsruhe.

Flexible working hours

To ensure that there is still enough free time in addition to studying and working, you will receive a pro rata 30 vacation days with us as well as the opportunity to plan your working hours flexibly. In coordination with your team and your contact person, you also have the opportunity to work remotely. In addition, almost all of our positions are suitable for part-time work.

Become a full-fledged member of the team

You accompany innovative projects at the cutting edge and take on responsible tasks, so you are a full-fledged member of our team right from the start! Of course, you benefit from an attractive salary.