Working Student Machine Learning, AI Engineering
synthavo
internship
Posted on:
Location Type: Hybrid
Location: Stuttgart • 🇩🇪 Germany
Visit company websiteJob Level
Entry Level
Tech Stack
PythonPyTorch
About the role
- 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.
Benefits
- 30 days of vacation
- Flexible working hour arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonPyTorchAI developmentimage recognitiondata analysisbenchmark testingdataset assemblytraining model optimizationmachine learning workflowsinfrastructure development
Soft skills
analytical working styleattention to detailstrong communicationpersonal responsibilityhands-on mentalityflexibilityproactivereliableteam playerdrive for responsibility