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 documentationResponsabilidades
- 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 contextsRequisitos principales
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📌 Senior Machine Learning Engineer (Madrid)
🏢 Epam Systems
📍 Madrid