Praktikum Machine Learning, Graph-Datenbanken und UX-Prototyping bei Bosch eBike Systems
Core
Developing a graph database for complex data structures and implementing machine learning models for anomaly detection in eBike systems, while creating interactive UX prototypes.
Role type
Machine Learning and Data Engineering Intern
Builds
Graph database for eBike systems; ML models for anomaly detection; UX prototypes
Domain
Electric mobility / eBike systems / Data Science
Deliverable
production ML models | infrastructure | product features
Required skills
Python programming; SQL or Graph database knowledge (Neo4j/Cypher); Machine Learning implementation (PyTorch, TensorFlow, Scikit-Learn); UI/UX prototyping (Figma, Web-Frontends)
Preferred skills
Mathematical and analytical understanding of data structures and AI; scientific structuring; user-centric focus
Technologies
Python, Neo4j, Cypher, PyTorch, TensorFlow, Scikit-Learn, Figma
Responsibilities
Design and implement a graph database to structure complex data; Develop and evaluate ML models for anomaly detection; Create and program interactive UX prototypes
Seniority
Intern
