Role overview
Are you a forward-thinking professional with a strong background in ML/AI and an interest in financial services? Join as a Machine Learning Engineer and design, build and maintain robust, scalable AI solutions for customers. Collaborate with cross-functional teams in an agile environment to deliver high-quality digital solutions across the entire AI lifecycle.
This is a hybrid role based in Madrid's city center, ideal for those eager to thrive in a dynamic environment and make a significant impact in private banking technology. Join EPAM and contribute to shaping the future of financial services in Spain!
What you'll work on
- Develop, deploy and optimize machine learning and AI solutions for complex business challenges
- Create multi-agent systems and equip AI models with function or tool-calling capabilities
- Design and implement RAG systems to ground AI responses in enterprise data
- Assess and integrate AI models ensuring optimal performance and reliability
- Optimize agentic workflows and AI agents for production use cases
- Test and optimize system prompts and few-shot examples for accurate and safe AI outputs
- Evaluate performance of machine learning and AI models using appropriate metrics and techniques
- Collaborate with platform teams, data engineers, data scientists and other stakeholders to integrate solutions
- Participate in code reviews, testing and debugging to ensure quality and reliability
- Contribute across the entire lifecycle from concept to deployment
What we're looking for
- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics or related field
- Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
- Proven experience working with Large Language Models
- Good understanding of AI agents, agentic workflows and LLM orchestration frameworks
- Experience with data preprocessing, feature engineering and model selection and evaluation techniques
- Knowledge of statistical and mathematical concepts relevant to machine learning
- Understanding of software development best practices including version control, testing and documentation
- Excellent problem-solving and debugging skills
- Relevant work experience in machine learning, data science or related field
- Can-do attitude, pragmatic and open-minded
We offer
- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses
EPAM 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.
- Why Join EPAM
- WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
- CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
- CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
- STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.