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# Working student Machine Learning Engineering

- **Company:** Mercedes-Benz Tech Innovation GmbH
- **Location:** Karlsruhe, Germany (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Engineering, Data Cleansing, Data Files, Python (Programming Language), Machine Learning, Software Engineering, Large Language Models, Deep Learning, Databricks
- **Published:** August 14, 2026
- **Apply:** https://mercedesbenztechinnovation.wd3.myworkdayjobs.com/MBTI_JOBPORTAL/job/Karlsruhe/Werkstudent-Machine-Learning-Engineering--d-m-w-x-_R0006860

## About the Role

* You study computer science, data science, artificial intelligence, machine learning or a comparable course of study.
 * You will bring experience in software development with Python as well as in training deep learning and machine learning models.
 * You understand how large language models work and are trained, and you'll be interested in their further development and practical application.
 * Ideally, you will already have some practical experience of creating data sets, such as data preprocessing, filtering or augmentation, or programming LLM-supported applications.
 * Experience with cloud development and platforms such as Databricks or Azure is an advantage.
 * Good written and spoken German and English round off your profile.

## Description

* As a working student (m/f/x) in machine learning engineering, you support the team in further developing large language models (LLMs) into multimodal models for audio and vision applications.
 * You research, create, and prepare high-quality multimodal data sets for the training and further development of the models.
 * You also support the creation and management of data, training and evaluation pipelines in the cloud.
 * In fine tuning of existing base models, such as Qwen, you appear on multimodal and capability-specific data.
 * In doing so, you deal with modern approaches such as RAG, tool calling and agent behavior and support their use and further development.
 * In addition, you work together with experienced developers from different disciplines in an agile product development team and actively contribute your ideas.


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