Julius Baer

MachineLearningEngineer100%(f/m/d)

$115–145k ~AI est. Zurich, Switzerland FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Problems you'll solve

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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