We're looking for a Senior ML Engineer to join our team in Madrid, Spain in a hybrid working mode. In this role, you will design, build, and deploy scalable machine learning and AI solutions that power next-generation digital capabilities within a leading general financial institution. You will work across the full lifecycle – from concept and prototyping to production – in an agile and DevOps-oriented environment, collaborating with multi-disciplinary teams to deliver robust, business-critical AI systems.

If you are passionate about Large Language Models, multi-agent workflows, and advanced ML engineering practices, this is an opportunity to shape AI-driven innovation within one of the world’s most renowned wealth management organizations.

Responsibilities
- Design, develop, deploy, and optimize machine learning and AI solutions addressing complex business challenges
- Build and integrate multi-agent systems and enable AI models with function/tool calling capabilities
- Design and maintain RAG (Retrieval-Augmented Generation) systems to ground AI outputs in enterprise data




- Integrate and fine-tune Large Language Models (LLMs) to ensure performance, consistency, and reliability
- Optimize agentic workflows for production use cases while ensuring safety and accuracy
- Evaluate and improve system performance using robust metrics, evaluation sets, and continuous iteration
- Collaborate with data engineers, platform teams, and data scientists to integrate ML solutions into enterprise systems
- Conduct code reviews, unit testing, and debugging to guarantee quality and maintainability
- Ensure compliance with software development best practices across version control, testing, and documentation

Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field
- Proven experience as a Machine Learning Engineer or similar role in AI solution development
- Strong programming skills in Python, experience with ML libra

📌 Senior Machine Learning Engineer (Madrid)
🏢 Epam Systems
📍 Madrid