Working Student* - Data Science

The Deep Learning Team builds the tooling to create deep learning models for TOMRA’s sensor-based sorting and analysis systems. This includes data organization and processing, as well as tools to train and deploy deep learning models, screening scientific deep learning improvements, and realization of improvements for industrial sorting systems. Other internal teams will use these tools to create deep learning models to solve real-world sorting problems.

We are looking for a working student to support the Deep Learning Team in the field of Data Science with tasks including:

• Testing, benchmarking, and reporting the latest model-centric and data-centric deep learning advancements on our use-cases

• Development, optimization, and verification of our data, training, and deployment pipelines

This role offers hands-on experience in cutting-edge deep learning applications and an opportunity to contribute to innovative industrial AI solutions.