Senior Machine Learning Engineer, hibrido EPAM Madrid, EspañaSenior Machine Learning Engineer Were 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 integral 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 worlds most renowned wealth management organizations.ResponsibilitiesDesign, develop, deploy,



and optimize machine learning and AI solutions addressing complex business challengesBuild and integrate multi-agent systems and enable AI models with function/tool calling capabilitiesDesign and maintain RAG (Retrieval-Augmented Generation) systems to ground AI outputs in enterprise dataIntegrate and fine-tune Large Language Models (LLMs) to ensure performance, consistency, and reliabilityOptimize agentic workflows for production use cases while ensuring safety and accuracyEvaluate and improve system performance using robust metrics, evaluation sets, and continuous iterationCollaborate with data engineers, platform teams, and data scientists to integrate ML solutions into enterprise systemsConduct code reviews, unit testing, and debugging to guarantee quality and maintainabilityEnsure compliance with software development best practices across version control, testing, and documentationRequirementsBachelors or Masters degree in Data Science, Computer Science, Mathematics, Statistics, or related fieldProven experience as a Machine Learning Engineer or similar role in AI solution developmentStrong progr

📌 Senior Machine Learning Engineer, Hibrido (Madrid)
🏢 Epam
📍 Madrid