Overview In this role you will drive AI/ML innovation within Eco Vadis 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 / Ventajas Flexible working hours Wellness allowance Mental health support Remote work options Learning and development Hybrid work arrangement Responsabilidades 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 / Agent Ops best practices Requisitos principales 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, Lang Chain, Vector DBs, evaluation frameworks) Experience 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 critical thinking Python MLflow Lang Chain

📌 Senior Ai/Ml Engineer - Barcelona
🏢 Jobrapido
📍 Barcelona