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 / Beneficios
• 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 practices

Responsabilidades
• 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 xqbhyrx 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

Requisitos principales
• Adaptable working hours
• Wellness allowance
• Mental health support
• Remote work options
• Learning and development
• Hybrid work arrangement

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