More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.
A passionate Machine Learning Engineer with experience in Generative AI, Large Language Models (LLMs), AI Agents, and MLOps/DevOps environments , eager to help design, build, and deploy enterprise-grade AI solutions.
Required to go to the client's offices in central Madrid 3 days a week.
High english level is required.
Develop, deploy, and optimize Machine Learning and AI solutions for complex business challenges.
Build and maintain Retrieval-Augmented Generation (RAG) solutions using enterprise data.
Design and improve agentic workflows and AI agents for production environments.
Test and optimize prompts and few-shot examples to ensure accurate, consistent, and safe AI outputs.
Evaluate model performance using appropriate metrics, benchmarks,



and validation techniques.
Collaborate with Data Scientists, Data Engineers, Platform Teams, and other stakeholders.
Participate in code reviews, testing, debugging, and quality assurance activities.
Contribute to the full AI lifecycle, from design and development to deployment and monitoring.
Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
Strong programming skills in Python.
Hands‑on experience with Machine Learning frameworks such as TensorFlow and/or PyTorch.
Knowledge of data preprocessing, feature engineering, model selection, and evaluation techniques.
Experience applying software engineering best practices, including version control, testing, and documentation.
Experience working in cloud environments (Azure, AWS, or GCP).
Experience deploying and monitoring AI solutions in production.
Familiarity with vector databases and modern Ge

📌 Python Machine Learning Engineer (Madrid)
🏢 UST España & Latam
📍 Madrid