Internship position: Code
On-siteBremen, City state Bremen, Germany
Job Summary
Conduct research on AI-powered computing platform configuration by analyzing academic papers and integrating code from repositories like GitHub. Develop and test auto-generated scripts to streamline deployment via APIs, optimizing resource allocation for research teams. Apply proficiency in Python, Git, and containerization tools (Docker, Conda) to build and maintain the system. Submit a CV, motivation letter, and transcript of records to apply. This internship is open to currently enrolled BSc/MSc students at Constructor University with a strong interest in AI-assisted research and automation tools.
Required Qualifications
- Currently enrolled in a BSc/MSc in Computer Science, Data Science, or AI/ML at Constructor University
- Proficiency in Python, Git, and containerization tools (Docker, Conda)
- Familiarity with LLMs, code analysis, or reproducibility frameworks
- Good English communication and documentation skills
Desired Qualifications
- Interest in AI-assisted research and automation tools
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