Machine Learning Engineer 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. Lets 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. Youll 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 - Ability to manage personal workloads effectively to prioritize tasks manage timelines and deliver high-quality results on schedule - Continuous learning mindset with a passion for staying up-to-date with the latest advancements in machine learning and artificial intelligence - Attention to detail and commitment to producing high-quality reliable and maintainable code - Bachelors or Masters degree in Data Science Computer Science Mathematics Statistics or a related field - Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch - Proven experience working with Large Language Models (LLMs) - Good understanding of AI agents agentic workflows LLM orchestration frameworks and reasoning patterns - Experience with data preprocessing feature engineering and model selection and evaluation techniques - Knowledge of statistical and mathematical concepts relevant to machine learning such as probability linear algebra and optimization - Understanding software development best practices including version control testing and documentation - Excellent problem-solving and debugging skills with the ability to identify and resolve issues quickly and effectively - Relevant work experience in machine learning data science or a related field - Very good English Spanish is a plus