ppAt 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. /p pWe 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. /p pYou’ll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions. /p h3YOUR CHALLENGE /h3 ul liDevelop, deploy, and optimize machine learning and AI solutions that address complex business challenges /li liCreate multi-agent systems and equip AI models with function / tool-calling capabilities /li liDesign and implement RAG systems to ground AI responses in enterprise data /li liAssess and integrate AI models (e.g., LLMs) ensuring optimal performance and reliability /li liOptimize agentic workflows and AI agents for production use cases /li liTesting and optimizing system prompts and few-shot example to ensure accurate , consistent, and safe AI outputs /li liPerformance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them /li liCollaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes /li liParticipate in code reviews, testing,



and debugging to ensure the quality and reliability of machine learning solutions /li /ul h3YOUR PROFILE /h3 ul liStrong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges /li liExcellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization /li liAbility to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule /li liContinuous learning mindset, with a passion for staying up-to-date with the latest advancements in machine learning and artificial intelligence /li liAttention to detail and commitment to producing high-quality, reliable, and maintainable code /li liBachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field /li liStrong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch /li liProven experience working with Large Language Models (LLMs) /li liGood understanding of AI agents agentic workflows, LLM orchestration frameworks and reasoning patterns /li liExperience with data preprocessing, feature engineering, and model selection and evaluation techniques /li liKnowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization /li liUnderstanding software development best practices, including version control, testing, and documentation /li liExcellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively /li liRelevant work experience in machine learning, data science or a related field /li liVer good English, Spanish is a plus /li /ul /p #J-18808-Ljbffr

📌 Machine Learning Engineer 100% (f/m/d) (Madrid)
🏢 Julius Baer
📍 Madrid