Julius Baer
MachineLearningEngineer100%(f/m/d)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer 100% (f/m/d) at Julius Baer. Skills: Machine learning, AI solutions, Large Language Models, Agentic workflows. Develop machine learning and AI solutions. Deploy machine learning and AI solutions”
What You'll Achieve.
Deliver high-quality digital solutions; Ensure optimal performance; Ensure reliability; Ensure accurate outputs; Ensure consistent outputs; Ensure safe outputs; Ensure quality of solutions; Ensure reliability of solutions
Industry & Context.
Problem-solving; Analytical skills; Critical thinking; Creative thinking; Debugging skills
What They're Looking For.
Must Have
Bachelor's or Master's degree, Python programming skills, Experience with machine learning libraries, Experience with deep learning frameworks, Proven experience with Large Language Models (LLMs), Experience with data preprocessing, Experience with feature engineering, Experience with model selection, Experience with model evaluation, Knowledge of statistical concepts, Knowledge of mathematical concepts, Understanding software development best practices, Excellent problem-solving skills, Excellent debugging skills, Relevant work experience in machine learning, Relevant work experience in data science
Nice to Have
TensorFlow experience, PyTorch experience, Good understanding of AI agents, Good understanding of agentic workflows, Good understanding of LLM orchestration frameworks, Good understanding of reasoning patterns
What You'll Do.
Develop machine learning and AI solutions
Deploy machine learning and AI solutions
Optimize machine learning and AI solutions
Create multi-agent systems
Equip AI models with function/tool-calling capabilities
Integrate RAG systems
Optimize agentic workflows
Optimize system prompts
Test few-shot examples
Optimize few-shot examples
Evaluate machine learning models
Iterate and improve models
Collaborate with platform teams
Collaborate with data engineers
Collaborate with data scientists
Collaborate with stakeholders
Integrate machine learning solutions
Participate in code reviews
Participate in testing
Participate in debugging
How You'll Work.
Team & Collaboration
Cross-functional teams; Agile development teams; Stakeholders at all levels
Communication Scope
Communication skills
Process & Methodology
Manage personal workloads, Prioritize tasks, Manage timelines, Deliver results
Full Job Description
At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. We are seeking a skilled machine learning engineer (ML Eng) to join one of our agile development teams in our ML & AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions. ## **YOUR CHALLENGE** * Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges * Create multi-agent systems and equip AI models with function/tool-calling capabilities * Design and implement RAG systems to ground AI responses in enterprise data * Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability * Optimize agentic workflows and AI agents for production use cases * Testing and optimizing system prompts and few-shot example to ensure accurate , consistent, and safe AI outputs * Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them * Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes * Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions ## **YOUR PROFILE** * Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges * Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
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