Senior Ai/Ml Engineer - Ecovadis

Overview¿Está considerando presentar su candidatura para este trabajo?Compruebe todos los detalles en esta descripción del puesto y luego haga clic en “Solicitar”.In this role you will drive AI/ML innovation within EcoVadis by designing scalable AI systems and pipelines, collaborating with cross-functional teams to solve business problems across units.You’ll deploy end-to-end ML solutions on Azure and Databricks, and optimize workflows through MLOps practices.You’ll work in a dynamic, international environment focused on delivering measurable impact through responsible AI.This is a chance to shape how AI/ML accelerates sustainability insights at scale.Compensaciones / BeneficiosFlexible working hoursWellness allowanceMental health supportRemote work optionsLearning and developmentHybrid work arrangementResponsabilidadesDesign, develop, deploy and maintain scalable AI/ML systemsLeverage data to solve business problems across unitsBuild AI/ML engineering infrastructure to orchestrate batch and real-time pipelinesRun large-scale experiments to ensure quality and efficiency of ML/data pipelinesPartner with scientists and engineers to deliver accessible AI/ML models to end-usersUtilize Python, MLflow, Azure stack and Databricks for end-to-end solutionsDesign AI/ML pipelines applying MLOps / LLMOps / AgentOps best practicesRequisitos principalesIndustry experience in production-grade AI/ML systems and integration into business applicationsStrong programming skills in Python and ML librariesExperience with AI/ML lifecycle and MLOps tooling (MLflow, LangChain, VectorDBs, evaluation frameworks)xkdbapoExperience with cloud technologies, especially Azure and DatabricksSolid understanding of software engineering practices across the lifecycleExperience with REST API for ML model servingExperience with Docker and container orchestrationExperience with relational and non-relational databasesCross-functional collaboration in AI/ML product developmentOutgoing personalitystrong communication skillscritical thinkingPythonMLflowLangChain

Requisitos principalesIndustry experience in production-grade AI/ML systems and integration into business applications Strong programming skills in Python and ML libraries Experience with AI/ML lifecycle and MLOps tooling (MLflow, LangChain, VectorDBs, evaluation frameworks) xkdbapoExperience with cloud technologies, especially Azure and Databricks Solid understanding of software engineering practices across the lifecycle Experience with REST API for ML model serving Experience with Docker and container orchestration Experience with relational and non-relational databases Cross-functional collaboration in AI/ML product development Outgoing personality strong communication skills