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.
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