Machine Learning Engineer Intern 100% (f/m/d)

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 motivated intern to join one of our agile development teams in our ML & AI ART. This role is ideal for a final-year university student or a Master's student specializing in AI or a related field. You will support the design, development, and deployment of AI solutions within a DevOps environment, while gaining hands-on experience across the full lifecycle - from concept to production.

You will collaborate closely with experienced engineers and cross-functional teams to deliver impactful digital solutions and continuously grow your technical skills.

YOUR CHALLENGE

Support the development, deployment, and optimization of machine learning and AI solutions addressing business challenges

Assist in building and experimenting with multi-agent systems and AI models with function/tool-calling capabilities

Contribute to the design and implementation of RAG systems to connect AI models with enterprise data

Help evaluate and integrate AI models (e.g. LLMs) under guidance, focusing on performance and reliability

Support the optimization of AI agents and workflows for real-world applications

Assist in testing and refining system prompts and few-shot examples to improve output quality and consistency

Contribute to the evaluation of machine learning models using appropriate metrics and datasets, and support iterative improvements

Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate AI solutions into systems

Participate in code reviews, testing, and debugging to ensure quality and reliability while learning best practices

YOUR PROFILE

Strong analytical and problem-solving skills, with curiosity and willingness to learn

Good communication and collaboration skills, with the ability to work effectively in a team environment

Ability to manage tasks, prioritize learning objectives, and meet agreed timelines

Growth mindset with strong interest in machine learning, AI, and emerging technologies

Attention to detail and commitment to writing clean, maintainable code

Bachelor’s (final year) or Master’s student in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related field

Basic to intermediate programming skills in Python, with exposure to machine learning libraries and frameworks such as TensorFlow or PyTorch

Familiarity with Large Language Models (LLMs) through coursework, personal projects, or internships

Basic understanding of AI agents, LLM orchestration concepts, and prompting techniques

Knowledge of data preprocessing, feature engineering, and model evaluation concepts

Understanding of fundamental mathematical and statistical concepts relevant to machine learning

Awareness of software development best practices such as version control (e.g. Git), testing, and documentation

Strong willingness to learn, experiment, and grow in a fast-paced environment

Previous internship, academic project, or hands-on experience in machine learning or data science is a plus

We are looking forward to receiving your full job application through our online application tool.