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# machine learning engineer (ML Eng)

- **Company:** Julius Baer
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Code Review, Computer Programming, Data Cleansing, Software Debugging, Python (Programming Language), Machine Learning, Tensorflow, Feature Engineering, Pytorch, Large Language Models, Deep Learning, Model Validation, Information Technology, Software Version Control, Software Library
- **Published:** July 16, 2026
- **Apply:** https://es.trabajo.org/oferta-2258-d4a7fcc60e6ab51851350cd9be9cfce8

## About the Role

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

## Description

(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


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