Werkstudent - Machine Learning Engineering (w/m/div.)

Bosch Gruppe — Bamberg, DE
Published on

About the Role

Möchten Sie Ihre Ideen in nutzbringende und sinnvolle Technologien verwandeln? Ob im Bereich Mobility Solutions, Consumer Goods, Industrial Technology oder Energy and Building Technology - mit uns verbessern Sie die Lebensqualität der Menschen auf der ganzen Welt.

In your role, you will develop solutions in collaboration with our experienced Data Scientists and Machine Learning Engineers for our internal customers in the manufacturing environment.

  • You will design and implement reliable monitoring for Industrial AI applications.
  • You will support us in the further development of training, approval, and CI/CD processes.

About the Candidate

The ideal candidate should be studying (Wirtschafts-) Informatik or a comparable field and be highly motivated and able to work independently as well as in teams.

  • Experiences and Know-how: Advanced knowledge in software development with Python and Machine Learning is essential, along with basic knowledge of Linux, Docker, and Kubernetes. Experience with GitHub CI/CD is an additional plus.
  • Language Skills: Very good commands of both German and English are required.

About the Company

Welcome to Bosch! We are committed to transforming your ideas into meaningful and beneficial technologies. Our focus areas include Mobility Solutions, Consumer Goods, Industrial Technology, and Energy and Building Technology.

Company Culture and Benefits

Bosch Gruppe offers a diverse and flexible working environment:

  • Work-Life-Balance: Flexibility in terms of working hours, location, and working model.
  • Health and Sports: Comprehensive range of health and sports activities.
  • Childcare: Referral service for childcare options.
  • Employee Discounts: Discounts for employees.
  • Creative Freedom: Space for creative work.
  • Social Assistance: Social consulting and mediation services for care services.

All applicants are required to be enrolled in a recognized university. Please include your CV, all relevant certificates, your high school diploma, your current transcript, and your current enrollment certificate, including a valid work and residence permit (if applicable).

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