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IT Working Student - Junior Machine Learning Engineer

Julius Baer is the leading Swiss wealth management group focused on servicing and advising sophisticated private clients worldwide.
Machine Learning
Software Engineering Intern
In-Person
5,000+ Employees
Finance · AI
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Job Description

Julius Baer, Switzerland's leading wealth management group, is seeking a motivated IT Working Student to join their technology team as a Junior Machine Learning Engineer. This internship opportunity, available for 6 months with flexible working hours (60-100%), offers hands-on experience in cutting-edge AI and Machine Learning projects.

The role focuses on developing custom Machine Learning solutions, particularly in Natural Language Processing. You'll be working on exciting projects including semantic search implementation, foundation model development using proprietary data, and establishing MLOps pipelines. This position provides an excellent opportunity to bridge theoretical knowledge with practical application in a real-world financial services environment.

As an intern, you'll be mentored by senior experts and gain valuable experience in the intersection of finance and artificial intelligence. The position is ideal for students in their final years of technical studies who are passionate about machine learning and want to contribute to innovative AI solutions in the wealth management sector.

Julius Baer offers a stimulating international work environment with flat hierarchies and a supportive culture defined by their core values of Care, Passion, and Excellence. Located in Zurich, you'll be part of a global organization present in around 60 locations worldwide, providing wealth management services to sophisticated private clients.

This internship is perfect for candidates looking to launch their career in machine learning engineering while working for a prestigious financial institution. You'll gain practical experience in implementing AI solutions, work with cutting-edge technologies, and contribute to meaningful projects that impact the future of wealth management.

Last updated a month ago

Responsibilities For IT Working Student - Junior Machine Learning Engineer

  • Design, implement, and deploy cutting edge Deep Learning models for specific problems such as Semantic Search
  • Work on building foundation models on proprietary data
  • Help build up in house AI capabilities such as setting up MLOps pipeline
  • Tackle various Data Science and Engineering related challenges

Requirements For IT Working Student - Junior Machine Learning Engineer

  • Current bachelor's or master's degree study in a technical field (university, ETH, FH)
  • Maximum of two semesters left until graduation
  • Strong motivation to learn new things
  • Technical and practical knowledge preferred

Benefits For IT Working Student - Junior Machine Learning Engineer

  • Learning opportunities
  • Mentorship from senior experts
  • Flexible work schedule (60-100%)
  • International work environment