Internship opportunity for a Junior Machine Learning Engineer at Julius Bär in Zürich. The role focuses on developing custom ML solutions, particularly in NLP, with flexible workload options between 60% and 100%.
This internship allows candidates to shape their workload between 60% and 100% while contributing to in-house Machine Learning projects, with a primary focus on Natural Language Processing.
Responsibilities
- Assist in the design, implementation, and deployment of advanced Deep Learning models for tasks like Semantic Search.
- Develop foundation models using proprietary data.
- Support the establishment of internal AI capabilities, including the setup of MLOps pipelines.
- Address various challenges related to Data Science and Engineering.
Requirements
- Currently enrolled in a bachelor's or master's program in a technical discipline at a university, ETH, or FH.
- Have no more than two semesters remaining until graduation.
- Demonstrate strong motivation to acquire new skills.
- Possess some existing technical and practical knowledge is advantageous.
What the company offers
- Gain practical experience through on-the-job learning, mentored and coached by a senior expert.
About the company
Julius Bär fosters a culture that values individual qualities, empowering employees to be impactful, entrepreneurial, and create value beyond wealth.
- Values individual qualities.
- Empowers employees to be impactful and entrepreneurial.
- Focuses on creating value beyond wealth.
How to apply
Documents to submit:
Quelle: öffentlich zugängliche Karriereseite des Arbeitgebers. Batchly ist nicht der Arbeitgeber und steht nicht notwendigerweise in einem Vertragsverhältnis mit dem Unternehmen.