At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, entrepreneurial, empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.
YOUR CHALLENGE
Help with designing, implementing, and deploying cutting‑edge Deep Learning models for specific problems such as Semantic Search.
Work on building foundation models on proprietary data.
Help us build up in‑house AI capabilities such as setting up an MLOps pipeline.
Tackle various Data Science and Engineering related challenges.
YOUR PROFILE
A current ongoing bachelor’s or master's degree study in a technical field (university, ETH, FH).
A maximum of two semesters left until your graduation.
A huge portion of motivation to learn new things.
In the best case already some technical and practical knowledge.
How you learn with us: On the job in a project and from a senior expert mentored and coached.
#J-18808-Ljbffr
YOUR CHALLENGE
Help with designing, implementing, and deploying cutting‑edge Deep Learning models for specific problems such as Semantic Search.
Work on building foundation models on proprietary data.
Help us build up in‑house AI capabilities such as setting up an MLOps pipeline.
Tackle various Data Science and Engineering related challenges.
YOUR PROFILE
A current ongoing bachelor’s or master's degree study in a technical field (university, ETH, FH).
A maximum of two semesters left until your graduation.
A huge portion of motivation to learn new things.
In the best case already some technical and practical knowledge.
How you learn with us: On the job in a project and from a senior expert mentored and coached.
#J-18808-Ljbffr
Working Student – Junior Machine Learning Engineer 60 - 100% (f/m/d) Arbeitgeber: Julius Baer
Julius Baer bietet eine herausragende Arbeitsumgebung in Zürich, die von einer agilen und kollaborativen Kultur geprägt ist. Als Senior Java Backend Architect haben Sie die Möglichkeit, innovative cloud-native Systeme zu gestalten und Ihre Fähigkeiten in modernen Java-Technologien weiterzuentwickeln. Das Unternehmen fördert aktiv das Wachstum seiner Mitarbeiter und bietet zahlreiche Weiterbildungsmöglichkeiten, um Ihre Karriere im Bereich Wealth Management voranzutreiben.
