Experteer Overview
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 documentation

Responsabilidades
• Experience in designing and deploying ML/AI solutions 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 contexts

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