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

Julius Baer; Madrid; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

Julius Baer is looking for a skilled Machine Learning Engineer to join their agile development team in Madrid. You will design, build, and maintain AI solutions, collaborating with cross-functional teams throughout the entire lifecycle.

The ideal candidate has experience in machine learning, strong Python programming skills, and a passion for continuous learning. This role offers the opportunity to work in a dynamic environment focused on innovation and technological advancement.

Formación

• Strong programming skills in Python with experience in machine learning libraries.
• Proven experience working with Large Language Models (LLMs).
• Relevant work experience in machine learning, data science, or a related field.

Responsabilidades

• Develop, deploy, and optimize machine learning and AI solutions.
• Collaborate with teams to integrate ML solutions into existing systems.
• Assess and integrate AI models ensuring optimal performance.

Conocimientos

Problem-solving and analytical skills

Communication and collaboration skills

Python programming

Knowledge of ML libraries (TensorFlow, PyTorch)

Experience with Large Language Models (LLMs)

Educación

Bachelor's or Master's in Data Science, Computer Science, Mathematics, or related field

Herramientas

TensorFlow

PyTorch

Descripción del empleo

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.

You’ll 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
• Bachelor's or Master's 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
• Ver good English, Spanish is a plus