Senior ML/AI Engineer, Madrid
Empresa
EPAM
Provincia
Madrid
Ciudad
Madrid
Tipo de Contrato
Tiempo Completo
Descripción
Senior ML/AI Engineer
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 Madrids 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!
Responsibilities
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
Requirements
Bachelors or Masters 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
Python, TensorFlow, PyTorch, LLM
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 Madrids 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!
Responsibilities
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
Requirements
Bachelors or Masters 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
Python, TensorFlow, PyTorch, LLM