CH10 - BJB Bank Julius Baer & Co. Ltd.
Machine Learning Engineer(m/w/x)
Full-timeOn-siteExperienced
Zürich
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BABank Julius Baer & Co. Ltd.
Machine Learning Engineer(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing multi-agent AI systems with function/tool-calling capabilities in wealth management. Strong analytical and problem-solving skills required. DevOps environment, continuous learning mindset.
Requirements
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Effective workload management and prioritization
- Continuous learning mindset in ML/AI
- Attention to detail and code quality
- Bachelor's or Master's degree in Data Science, CS, Math, Statistics, or related
- Strong Python programming skills with ML/DL libraries
- Proven experience with Large Language Models (LLMs)
- Understanding of AI agents, LLM orchestration, and reasoning
- Experience with data preprocessing and model evaluation
- Knowledge of statistical and mathematical ML concepts
- Interest in business challenges
- Understanding of software development best practices
- Excellent problem-solving and debugging skills
- Relevant work experience in ML, data science, or related
Tasks
- Design and build robust, scalable AI solutions
- Maintain AI solutions in a DevOps environment
- Develop and deploy machine learning and AI solutions
- Optimize solutions for complex business challenges
- Create multi-agent systems with function/tool-calling capabilities
- Design and implement RAG systems for AI responses
- Assess and integrate AI models for optimal performance
- Optimize agentic workflows and AI agents for production
- Test and optimize system prompts and few-shot examples
- Ensure accurate, consistent, and safe AI outputs
- Evaluate machine learning and AI models using metrics
- Iterate and improve machine learning and AI models
- Collaborate with cross-functional teams for integration
- Participate in code reviews, testing, and debugging
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TensorFlow
- PyTorch
- Large Language Models (LLMs)
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bank Julius Baer & Co. Ltd. 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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BABank Julius Baer & Co. Ltd.
Machine Learning Engineer(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing multi-agent AI systems with function/tool-calling capabilities in wealth management. Strong analytical and problem-solving skills required. DevOps environment, continuous learning mindset.
Requirements
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Effective workload management and prioritization
- Continuous learning mindset in ML/AI
- Attention to detail and code quality
- Bachelor's or Master's degree in Data Science, CS, Math, Statistics, or related
- Strong Python programming skills with ML/DL libraries
- Proven experience with Large Language Models (LLMs)
- Understanding of AI agents, LLM orchestration, and reasoning
- Experience with data preprocessing and model evaluation
- Knowledge of statistical and mathematical ML concepts
- Interest in business challenges
- Understanding of software development best practices
- Excellent problem-solving and debugging skills
- Relevant work experience in ML, data science, or related
Tasks
- Design and build robust, scalable AI solutions
- Maintain AI solutions in a DevOps environment
- Develop and deploy machine learning and AI solutions
- Optimize solutions for complex business challenges
- Create multi-agent systems with function/tool-calling capabilities
- Design and implement RAG systems for AI responses
- Assess and integrate AI models for optimal performance
- Optimize agentic workflows and AI agents for production
- Test and optimize system prompts and few-shot examples
- Ensure accurate, consistent, and safe AI outputs
- Evaluate machine learning and AI models using metrics
- Iterate and improve machine learning and AI models
- Collaborate with cross-functional teams for integration
- Participate in code reviews, testing, and debugging
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TensorFlow
- PyTorch
- Large Language Models (LLMs)
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bank Julius Baer & Co. Ltd. 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bank Julius Baer & Co. Ltd.
Industry
FinancialServices
Description
The company focuses on wealth management and aims to create value beyond wealth.
Not a perfect match?
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