Working Student - Junior Machine Learning Engineer 60 - 100%

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

• 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

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%).