ppWe're looking for a bSenior ML Engineer /bto 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 global 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. /p pIf 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. /p h3Responsibilities /h3 ul liDesign, develop, deploy, and optimize machine learning and AI solutions addressing complex business challenges /li liBuild and integrate multi-agent systems and enable AI models with function/tool calling capabilities /li liDesign and maintain RAG (Retrieval-Augmented Generation) systems to ground AI outputs in enterprise data /li liIntegrate and fine-tune Large Language Models (LLMs) to ensure performance, consistency, and reliability /li liOptimize agentic workflows for production use cases while ensuring safety and accuracy /li liEvaluate and improve system performance using robust metrics, evaluation sets, and continuous iteration /li liCollaborate with data engineers, platform teams, and data scientists to integrate ML solutions into enterprise systems /li liConduct code reviews, unit testing, and debugging to guarantee quality and maintainability /li liEnsure compliance with software development best practices across version control, testing,



and documentation /li /ul h3Requirements /h3 ul liBachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field /li liProven experience as a Machine Learning Engineer or similar role in AI solution development /li liStrong programming skills in Python, experience with ML libraries and deep learning frameworks (TensorFlow or PyTorch) /li liPractical experience implementing and deploying LLMs and related orchestration frameworks /li liKnowledge of agentic workflows, multi-agent systems, and advanced reasoning patterns /li liStrong understanding of data preprocessing, feature engineering, and model evaluation techniques /li liDeep familiarity with relevant mathematical and statistical concepts (probability, linear algebra, optimization) /li liExperience implementing MLOps practices and working in DevOps-based environments /li liExcellent problem-solving, debugging, and optimization skillsStrong communication and ability to collaborate with cross-functional teams in an agile environment /li /ul h3Nice to have /h3 ul liPrior exposure to AI governance, security,



or compliance in financial services /li liFamiliarity with cloud infrastructures and containerized ML deployments using Kubernetes /li liProven track record of enabling AI-driven applications in production environments /li /ul h3We offer /h3 ul liPrivate health insurance /li liEPAM Employees Stock Purchase Plan /li li100% paid sick leave /li liReferral Program /li liProfessional certification /li liLanguage courses /li /ul pEPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously. /p h3Why Join EPAM /h3 ul libWORK AND LIFE BALANCE. /bEnjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays. /li libCONTINUOUS LEARNING CULTURE. /bCraft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses. /li libCLEAR AND DIFFERENT CAREER PATHS. /b Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager. /li libSTRONG PROFESSIONAL COMMUNITY. /b Join a integral EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends. /li /ul /p #J-18808-Ljbffr

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