Experteer Overview Lea atentamente toda la información sobre esta oportunidad y luego utilice el botón de solicitud de abajo para enviar su CV y su candidatura. In this role you will design, build, and deploy scalable ML and AI solutions that power digital capabilities for a leading global financial institution. You will operate across the full lifecycle in an agile, DevOps-oriented environment, collaborating with cross-functional teams to deliver robust AI systems. The role emphasizes working with large language models, multi-agent workflows, and production-grade practices to shape AI-driven innovation in wealth management. This is a chance to impact enterprise data usage and AI reliability at scale.Compensaciones / Ventajas• Design, develop, deploy, and optimize ML/AI solutions for complex business challenges• Build and integrate multi-agent systems with function/tool calling capabilities• Design and maintain RAG systems to ground AI outputs in enterprise data• Integrate and fine-tune LLMs for performance, consistency,



and reliability• Optimize agentic workflows for production use while ensuring safety and accuracy• Evaluate system performance using robust metrics and continuous iteration• Collaborate with data engineers, platform teams, and data scientists to integrate ML into enterprise systems• Conduct code reviews, unit testing, and debugging to ensure quality and maintainability• Ensure compliance with software development best practices across version control, testing, and documentationResponsabilidades• Experience in designing and deploying ML/AI solutions xqbhyrx at scale• Proficiency with LLMs, RAG, and multi-agent systems• Production-grade ML engineering and DevOps mindset• Strong collaboration with cross-functional teams• Ability to prototype, test, and iterate in an agile environment• Code reviews, testing, and debugging skills• Familiarity with software development best practices (version control, testing, documentation)• Comfort working in financial services / enterprise data contextsRequisitos principales•

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