Hybrid Working Student Machine Learning, AI Engineering

Posted 4 days ago

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About the role

  • Working student supporting tech and data team in developing and optimizing AI models for industry. Collaborating on training pipelines and data management while gaining industry experience.

Responsibilities

  • Support in training and testing AI models (including assembling and balancing datasets, as well as launching, monitoring, and analyzing training runs).
  • Implement experiments and conduct benchmark tests.
  • Develop internal tools to optimize training processes.
  • Contribute to the development of our ML workflows and infrastructure.
  • Closely collaborate with Data Scientists and ML Engineers on ongoing projects.

Requirements

  • Enrolled student in Computer Science, Data Science, Computational Engineering, Mathematics, or a comparable technical degree program.
  • Interest in hands-on AI development.
  • Initial experience with Python and training PyTorch models (ideally in image recognition).
  • Structured, analytical working style and attention to clean data.
  • Very good English skills and strong communication ability.
  • Comfortable working in a dynamic environment with personal responsibility, a hands-on mentality, and flexibility.
  • Proactive and reliable — even in complex situations.
  • Team player with a strong drive for responsibility and ownership.

Benefits

  • 30 days of vacation
  • Flexible working hour arrangements

Job title

Working Student Machine Learning, AI Engineering

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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