Working Student – Junior Machine Learning Engineer (60-100%)
Julius Baer · Zurich
Description du poste
About the role
Julius Baer is looking for a motivated working student to join its in‑house AI team. You will gain hands‑on experience developing cutting‑edge machine‑learning solutions while balancing a flexible workload of 60% to 100%.
Key responsibilities
- Design, implement and deploy deep‑learning models for tasks such as semantic search.
- Build foundation models using proprietary data.
- Set up and maintain MLOps pipelines to support AI development.
- Tackle a variety of data‑science and engineering challenges.
Required profile
- Currently enrolled in a bachelor’s or master’s program in a technical field (university, ETH, FH).
- Maximum two semesters remaining until graduation.
- Strong motivation to learn new technologies.
- Ideally some prior technical or practical experience.
Required skills
- Machine Learning
- Deep Learning
- Natural Language Processing
- MLOps
What we offer
- On‑the‑job learning with mentorship from senior experts.
- Flexible workload between 60% and 100%.
- Opportunity to contribute to real AI projects in wealth management.
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Julius Baer
Zurich
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