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# Senior Ai/Ml Engineer - Ecovadis

- **Company:** Jobrapido
- **Location:** Barcelona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Business Software, Cloud Computing, Computer Programming, Python (Programming Language), Machine Learning, Azure Active Directory, Software Engineering, LangChain, Scikit Learn, Kubernetes, AgentOps, Non-relational Database, Machine Learning Operations, Restful APIs, Data Pipelines, Docker, Databricks
- **Published:** October 18, 2026
- **Apply:** https://www.buscojobs.com.es/senior-ai-ml-engineer-ecovadis-en-barcelona-ID-375372627

## About the Role

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

## Description

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