Julius Baer
University Graduate – Machine Learning Engineer(m/w/x)
Full-timeInternshipOn-site
Zürich
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JUJulius Baer
IT Working Student – Junior Machine Learning Engineer(m/w/x)
Zürich
Full-timeWorking StudentOn-siteJunior
AI/ML
Data Science
Nejo AI Summary
Building foundation models and MLOps pipelines for semantic search at wealth management firm with global intermediaries. Enrollment in technical degree with maximum two semesters until graduation required. 20-person engineering team, flexible hours around lectures.
Requirements
- Ongoing technical bachelor's or master's degree
- Maximum two semesters until graduation
- High motivation to learn new things
- Technical and practical knowledge (ideal)
Tasks
- Design, implement, and deploy Deep Learning models
- Develop models for specific problems like Semantic Search
- Build foundation models using proprietary data
- Establish in-house AI capabilities and MLOps pipelines
- Solve various Data Science and Engineering challenges
- Receive mentorship and coaching from senior experts
Education
Currently in higher education
Languages
English – Business Fluent
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Julius Baer and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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JUJulius Baer
IT Working Student – Junior Machine Learning Engineer(m/w/x)
Zürich
Full-timeWorking StudentOn-siteJunior
AI/ML
Data Science
Nejo AI Summary
Building foundation models and MLOps pipelines for semantic search at wealth management firm with global intermediaries. Enrollment in technical degree with maximum two semesters until graduation required. 20-person engineering team, flexible hours around lectures.
Requirements
- Ongoing technical bachelor's or master's degree
- Maximum two semesters until graduation
- High motivation to learn new things
- Technical and practical knowledge (ideal)
Tasks
- Design, implement, and deploy Deep Learning models
- Develop models for specific problems like Semantic Search
- Build foundation models using proprietary data
- Establish in-house AI capabilities and MLOps pipelines
- Solve various Data Science and Engineering challenges
- Receive mentorship and coaching from senior experts
Education
Currently in higher education
Languages
English – Business Fluent
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Julius Baer and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Julius Baer
Industry
FinancialServices
Description
The company shapes the future of wealth management by empowering individuals to create value beyond wealth.
Not a perfect match?
- Julius Baer
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Full-timeOn-siteJuniorZürich