Machine Learning Engineer, EcoVadis

• 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
• Strong programming skills in Python as well as related ML libraries
• Industry experience on production-grade end to end ML projects (2 years)
• Knowledge of machine learning lifecycle, principles, and MLOps tooling (e.g. MLFlow, Kubeflow)
• Experience with REST API for ML model serving
• Understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, CI/CD tools and operations
• Familiarity with cloud technology, preferably Azure
• Experience with docker and container orchestration

Desirable

• We are looking for a highly motivated Mid-level Machine Learning (ML) Engineer to join our growing AI Center of Excellence, responsible for using machine learning to drive innovation across the organization
• We welcome applications from Spain (office: Barcelona) with an option of remote work
• Leverage data to solve business problems of various business units at EcoVadis
• Experiment, deploy and maintain ML models by ensuring scalability and speed
• Design ML pipelines by applying the best practices in MLOps
• Build ML engineering infrastructure and systems to orchestrate batch and real-time pipelines
• Partner with scientists and engineers to make ML models accessible to end-users and downstream processes
• Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions

• Start date: May 2025
• Our hiring team looks forward to reviewing your CV and cover letter with a guaranteed response to every application. A new job with purpose awaits you!