Company Description
Work smart, have fun and make an impact

EcoVadis is the leading provider of business sustainability ratings.

Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.

Why apply to EcoVadis?

Be a part of the integral sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution.

Learn more about our team and culture on EcoVadis careers page.

Job Description
We are looking for a highly motivated Senior AI/ML Engineer to join our growing AI Center of Excellence, responsible for using AI and machine learning to drive innovation across the organization.

Your responsibilities will include (but will not be limited to):

Leverage data to solve business problems of various business units at EcoVadis

Design, develop, deploy and maintain scalable AI/ML systems





Design AI/ML pipelines by applying the best practices in MLOps / LLMOps / AgentOps

Build AI/ML engineering infrastructure and systems to orchestrate batch and real-time pipelines

Run large-scale experiments and tests to ensure quality and efficiency of ML and data pipelines

Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes

Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Foundry) and Databricks to deliver end-to-end solutions

Qualifications
You have an outgoing personality along with an exceptional level of drive and a desire to pursue a career in an international and dynamic environment. You also possess excellent verbal and written communication, critical thinking and analytical skills.

Degree in Computer Science, Mathematics, Engineering, or a related technical discipline

Industry experience in driving, designing and implementing production-grade AI/ML systems and integrating tho

📌 Senior AI/ML Engineer (Madrid)
🏢 EcoVadis
📍 Madrid