EcoVadis is hiring a
Senior Machine Learning Engineer

Summary

Join EcoVadis as a Machine Learning Engineer in their growing AI Center of Excellence based in Barcelona or remotely. Contribute to driving innovation across the organization by leveraging data, designing ML systems, and partnering with scientists and engineers. Offers competitive salaries, support for personal growth, and various benefits such as flexible working hours, home office allowance, health benefits, wellness programs, and more.

Requirements

• M.S. Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
• Demonstrable experience in designing ML systems and integrating those into business applications
• Excellent knowledge of Python, other languages are a plus
• Deep knowledge of machine learning lifecycle, principles, and tooling
• Experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Data Factory, Azure Bicep)
• Solid understanding of software engineering best practices across the development lifecycle
• Experience in Linux OS and scripting
• Knowledge of data management fundamentals and data storage principles

Responsibilities

• Leverage data to solve business problems of various business units at EcoVadis
• Design, develop and maintain scalable ML systems
• Ensure ML lifecycle monitoring by applying the best practices in MLOps and green IT
• Engage in building ML engineering infrastructure and systems to orchestrate batch and streaming pipelines, and leverage Infrastructure as Code (IaC) to manage and provision infrastructure
• Partner with scientists and engineers to make ML models accessible to end-users and downstream processes
• Build and enhance feature stores
• Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions

Preferred Qualifications

• Experience of cross-functional collaboration in the development of ML products and services (e.g., Engineers, Product Managers)
• Familiarity with (non) relational databases

Benefits

• International and very friendly work environment
• Hybrid for colleagues who live near our offices (4 days per month) otherwise remote in the country you were hired in
• Flexible working hours
• Home office allowance program
• 90 days Working from anywhere policy
• Meals and Transportation Vouchers (Cobee card)
• Health, Wellness, and Dental Benefits
• Unlimited and completely confidential sessions with psychologists and online well-being programs
• Employee referral bonus policy
• Paid employee volunteer day
• Paid moving day (1/year)
• Access to online learning library
• Virtual and in-person team building events
• Co working space with various services + opportunity to work in different locations (Europe and International)