Working student AI Research Engineer for SLM Optimization

As a Working Student AI Research Engineer for SLM Optimization (m/f/d/x), you will support the team in developing, refining, and managing caching mechanisms for Small Language Models (SLMs).

• As a Working Student AI Research Engineer for SLM Optimization (m/f/d/x), you will support the team in developing, refining, and managing caching mechanisms for Small Language Models (SLMs).
• You will contribute to the training and further development of models for cache prediction.
• You will also support the configuration and management of machine learning environments in the cloud.
• You will work on the design and exploratory analysis of new caching strategies while contributing your own ideas.
• You will support the selection, development, and integration of the latest technologies as part of innovative research projects.
• In addition, you will collaborate with experienced developers from various disciplines in an agile product development team.

• You are currently studying Computer Science, Business Informatics, or a comparable degree program.
• You already have experience in software development with Python.
• You have knowledge of deep learning and are familiar with the architecture and functionality of transformer models.
• You are highly motivated, work in a structured manner, and enjoy exploring new technologies and topics.
• Excellent self-organization skills and the ability to independently familiarize yourself with new topics complete your profile.