Experteer Overview Si sus habilidades, experiencia y cualificaciones coinciden con las de esta descripción del puesto, no demore su solicitud. 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 / Incentivos• Design, develop, deploy and maintain scalable AI/ML systems• Leverage data to solve business problems across units• Build AI/ML engineering infrastructure to orchestrate batch and real-time pipelines• Run large-scale experiments to ensure quality and efficiency of ML/data pipelines• Partner with scientists and engineers to deliver accessible AI/ML models to end-users• Utilize Python, MLflow,



Azure stack and Databricks for end-to-end solutions• Design AI/ML pipelines applying MLOps / LLMOps / AgentOps best practicesResponsabilidades• Industry 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)• Experience with cloud technologies, especially Azure and Databricks• Solid xcskxlj 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 developmentRequisitos principales• Flexible working hours• Wellness allowance• Mental health support• Remote work options• Learning and development• Hybrid work arrangement

📌 Senior AI/ML Engineer (Barcelona)
🏢 Ecovadis
📍 Barcelona