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 and implementing ML models for wealth management decision-making. Strong analytical and project management skills required. Collaboration with cross-functional teams, focus on code quality.
Requirements
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Strong project management skills
- Continuous learning mindset
- Attention to detail and code quality
- Bachelor's or Master's degree in relevant field
- Strong programming skills in Python or R
- Experience with data preprocessing and model evaluation
- Knowledge of statistical and mathematical concepts
- Familiarity with big data technologies
- Understanding of software development best practices
- Excellent problem-solving and debugging skills
- Relevant work experience in machine learning
Tasks
- Develop machine learning models
- Implement machine learning algorithms
- Solve complex business problems
- Improve decision-making processes
- Collaborate with cross-functional teams
- Identify machine learning opportunities
- Drive innovation
- Optimize operational efficiency
- Stay updated on machine learning advancements
- Design machine learning models
- Deploy machine learning models
- Preprocess large datasets
- Analyze datasets for insights
- Evaluate model performance
- Use appropriate metrics
- Iterate on model improvements
- Collaborate with infrastructure teams
- Work with data engineers
- Integrate machine learning solutions
- Communicate complex concepts
- Explain results to non-technical audiences
- Participate in code reviews
- Test machine learning solutions
- Debug machine learning solutions
- Stay current with AI research
- Apply best practices in machine learning
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- TensorFlow
- PyTorch
- scikit-learn
- Hadoop
- Spark
- Hive
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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- Julius Baer
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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 and implementing ML models for wealth management decision-making. Strong analytical and project management skills required. Collaboration with cross-functional teams, focus on code quality.
Requirements
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Strong project management skills
- Continuous learning mindset
- Attention to detail and code quality
- Bachelor's or Master's degree in relevant field
- Strong programming skills in Python or R
- Experience with data preprocessing and model evaluation
- Knowledge of statistical and mathematical concepts
- Familiarity with big data technologies
- Understanding of software development best practices
- Excellent problem-solving and debugging skills
- Relevant work experience in machine learning
Tasks
- Develop machine learning models
- Implement machine learning algorithms
- Solve complex business problems
- Improve decision-making processes
- Collaborate with cross-functional teams
- Identify machine learning opportunities
- Drive innovation
- Optimize operational efficiency
- Stay updated on machine learning advancements
- Design machine learning models
- Deploy machine learning models
- Preprocess large datasets
- Analyze datasets for insights
- Evaluate model performance
- Use appropriate metrics
- Iterate on model improvements
- Collaborate with infrastructure teams
- Work with data engineers
- Integrate machine learning solutions
- Communicate complex concepts
- Explain results to non-technical audiences
- Participate in code reviews
- Test machine learning solutions
- Debug machine learning solutions
- Stay current with AI research
- Apply best practices in machine learning
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- TensorFlow
- PyTorch
- scikit-learn
- Hadoop
- Spark
- Hive
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.
About the Company
Bank Julius Baer & Co. Ltd.
Industry
FinancialServices
Description
Bank Julius Baer & Co. Ltd. shapes the future of wealth management by empowering individuals and creating value beyond wealth.
Not a perfect match?
- Bank Julius Baer & Co. Ltd.
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Full-timeOn-siteExperiencedZürich - Julius Baer
University Graduate – Machine Learning Engineer(m/w/x)
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Quant Engineer - Capital Market Technologies(m/w/x)
Full-timeOn-siteExperiencedZürich - Proton
Machine Learning Engineer(m/w/x)
Full-timeOn-siteExperiencedGenf, Zürich - Red Hat (Switzerland) SARL
Senior Machine Learning Engineer - Red Hat Inference(m/w/x)
Full-timeOn-siteSeniorZürich