Machine Learning Engineer 100% (f/m/d), Madrid

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. 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. 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 Python, TensorFlow, PyTorch, LLM