Working Student – Junior Machine Learning Engineer 60 - 100%
Our Take
Implement and deploy cutting-edge Deep Learning models for NLP tasks, building in-house AI capabilities.
What you’ll do
- Design, implement, and deploy Deep Learning models
- Work on building foundation models using proprietary data
- Set up MLOps pipelines for in-house AI capabilities
- Tackle various Data Science and Engineering challenges
What they’re looking for
- Current bachelor's or master's degree in a technical field
- Maximum two semesters remaining until graduation
- Motivation to learn new things
- Technical and practical knowledge preferred
What you get
- Learning on the job internship
- Determine workload yourself (60% to 100%)
- Project-based learning from a senior expert mentored and coached
Skills & Focus Areas
- Machine Learning
- Natural Language Processing
- Deep Learning
- Semantic Search
- Foundation Models
- MLOps
As posted by Julius Baer Group
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%).
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 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.
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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