Machine Learning Engineer 100% (f/m/d)
Julius Baer2 days ago
Madrid, SpainMid Level
Responsibilities
- Develop, deploy, and optimize machine learning and AI solutions for complex business challenges.
- Create multi-agent systems and equip AI models with function- and tool-calling capabilities.
- Design and implement RAG systems grounded in enterprise data.
- Assess and integrate AI models, including LLMs, for performance and reliability.
- Optimize agentic workflows and AI agents for production use cases.
- Test and optimize system prompts and few-shot examples for accurate, consistent, and safe outputs.
- Evaluate machine learning and AI model performance using appropriate metrics, evaluation sets, and techniques.
- Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions.
- Participate in code reviews, testing, debugging, and quality improvement for machine learning solutions.
Requirements
- Bachelor's or master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
- Strong programming skills in Python and experience with machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch.
- Proven experience working with Large Language Models.
- Good understanding of AI agents, agentic workflows, LLM orchestration frameworks, and reasoning patterns.
- Experience with data preprocessing, feature engineering, model selection, and model evaluation techniques.
- Knowledge of probability, linear algebra, optimization, and other mathematical and statistical concepts relevant to machine learning.
- Understanding of software development best practices, including version control, testing, and documentation.
- Relevant work experience in machine learning, data science, or a related field.
- Strong analytical, problem-solving, communication, collaboration, prioritization, debugging, and continuous-learning skills.
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About Julius Baer
Julius Baer is a Swiss private banking group providing wealth management, investment advisory, and custody services to high- and ultra-high-net-worth clients and family offices. It earns fees and commissions on assets under management, plus trading, custody, and lending income. Founded in 1890 and headquartered in Zurich, it operates in about 25 countries across roughly 60 locations, with notable hubs in Geneva, London, Hong Kong, Singapore, and Dubai.