Senior Ai/Ml Engineer

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 global sustainability change in business.Grow your career.Work with extraordinary people.Feel valued for your contribution.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.ResponsibilitiesLeverage data to solve business problems of various business units at EcoVadisDesign, develop, deploy and maintain scalable AI/ML systemsDesign AI/ML pipelines by applying the best practices in MLOps / LLMOps / AgentOpsBuild AI/ML engineering infrastructure and systems to orchestrate batch and real-time pipelinesRun large-scale experiments and tests to ensure quality and efficiency of ML and data pipelinesPartner with scientists and engineers to make AI/ML models accessible to end-users and downstream processesLeverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Foundry) 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.Degree in Computer Science, Mathematics, Engineering, or a related technical disciplineIndustry experience in driving, designing and implementing production-grade AI/ML systems and integrating those into business applications as well as model monitoring at scaleStrong programming skills in Python and related ML librariesStrong experience of AI/ML lifecycle, principles, and MLOps / LLMOps / AgentOps tooling (e.g., MLflow, LangChain, VectorDBs, Evaluation frameworks, etc)Experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Foundry, Azure Bicep, AzureML and Azure Cloud Storage) and DatabricksSolid understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operationsExperience with REST API for ML model servingExperience with Docker and container orchestrationExperience with relational and non-relational databasesExperience in cross-functional collaboration in the development of AI/ML products and services (e.g., Engineers, Product Managers)Contribution to open-source libraries is a plusAdditional InformationOffer available only for candidates eligible to work and live in SpainLocation: Hybrid in Barcelona (4 days per month in the office) / Full remote from SpainBenefitsSupport with all the necessary office and IT equipmentWellness allowance for mental and physical wellbeingAccess to professional mental health supportLearning and developmentSustainability events and community involvementEmployee-led resource groupsRemote work from abroad policyMeals and Transportation Vouchers (Coverflex card)Life & Accident Insurance + Private Health InsurancePaid moving day (1/year)Time off: 1 Community Service Day + 1 Personal DaySummer Hours in July and August (36 hours per week)Hybrid Monthly Allowance for electricity and InternetIn return for your expertise, we offer:Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application.A new job with purpose awaits you!We’re interested in hiring from a diverse and skilled talent pool, regardless of professional and educational background.Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect.EcoVadis commits to equity, inclusion and reducing bias in our hiring processes.EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique.In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).#J-*****-Ljbffr

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 those into business applications as well as model monitoring at scale Strong programming skills in Python and related ML libraries Strong experience of AI/ML lifecycle, principles, and MLOps / LLMOps / AgentOps tooling (e.g., MLflow, LangChain, VectorDBs, Evaluation frameworks, etc) Experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Foundry, Azure Bicep, AzureML and Azure Cloud Storage) and Databricks Solid understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations Experience with REST API for ML model serving Experience with Docker and container orchestration Experience with relational and non-relational databases Experience in cross-functional collaboration in the development of AI/ML products and services (e.g., Engineers, Product Managers) Contribution to open-source libraries is a plus

Support with all the necessary office and IT equipment Wellness allowance for mental and physical wellbeing Access to professional mental health support Learning and development Sustainability events and community involvement Employee-led resource groups Remote work from abroad policy Meals and Transportation Vouchers (Coverflex card) Life & Accident Insurance + Private Health Insurance Paid moving day (1/year) Time off: 1 Community Service Day + 1 Personal Day Summer Hours in July and August (36 hours per week) Hybrid Monthly Allowance for electricity and Internet In return for your expertise, we offer: Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you! We’re interested in hiring from a diverse and skilled talent pool, regardless of professional and educational background. Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major). #J-*****-Ljbffr

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.