Work smart, have fun, and make an impact! Our purpose is to guide all companies toward a sustainable world. 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 global 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.
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Job DescriptionWe are looking for a highly motivated 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. Join us!
Your global responsibilities will include (but will not be limited to):Leverage data to solve business problems of various business units at EcoVadisDesign, develop and maintain scalable ML systemsRun large-scale experiments and tests to ensure quality and efficiency of ML and data pipelinesEnsure ML lifecycle monitoring by applying the best practices in MLOps and green ITSupport large-scale data preparation and prelabelingEngage in building ML engineering infrastructure and systems to orchestrate batch and streaming pipelines, and leverage Infrastructure as Code (IaC) to manage and provision infrastructurePartner with scientists and engineers to make ML models accessible to end-users and downstream processesBuild and enhance feature storesLeverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutionsQualificationsYou 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.
M.S. Degree in Computer Science, Mathematics, Engineering, or a related technical disciplineDemonstrable experience in designing ML systems and integrating those into business applications, and model monitoring at scaleExcellent knowledge of Python, other languages are a plusExperience with web crawling and related frameworks like Scrapy, BeautifulSoup, lxml, etc. is a plusDeep knowledge of machine learning lifecycle, principles, and toolingExperience in cloud technology, preferably Azure and its ecosystem (e.g.)
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