IT Working Student - Junior Machine Learning Engineer 60%-100% (f/m/d)

Julius Baer; Zürich; Vor Ort; CHF 125’000 - 150’000; Vollzeit

Zusammenfassung

Julius Baer offers a unique opportunity for an internship focused on Machine Learning solutions in Natural Language Processing. Interns will engage in meaningful tasks such as implementing Deep Learning models, working closely with experienced mentors, and developing in-house AI capabilities. This role is ideal for motivated bachelor’s or master’s students eager to gain practical experience in a dynamic wealth management environment.

Qualifikationen

• Current bachelor’s or master's student.
• Maximum of two semesters left until graduation.
• Basic technical and practical knowledge preferred.

Aufgaben

• Design and implement Deep Learning models for Semantic Search.
• Build foundation models on proprietary data.
• Set up MLOps pipeline and tackle Data Science challenges.

Kenntnisse

Motivation to learn

Technical knowledge

Ausbildung

Bachelor's or Master's in a technical field

Jobbeschreibung

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

Are you looking for a cool way to take your theoretical or maybe even practical IT skills to the next level? If yes, then you should read now carefully what we offer!

You can expect a learning on the job internship, where you determine the workload yourself (between 60% and 100%). Starting anytime for 6 months. YOUR CHALLENGE

We are working on in house, custom Machine Learning solutions for a variety of tasks, mainly in Natural Language Processing. As part of your internship, you will:

• 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 MLOps pipeline
• Tackle various Data Science and Engineering related challenges

YOUR PROFILE

• A current 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.

If this great opportunity appeals to you, then you should definitely apply to us, and we will convince you in an interview why you should do your internship with us.

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site .

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