Overview
Solicitar este puesto es sencillo. Desplácese hacia abajo y haga clic en "Solicitar" para ser considerado para esta posición.
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
Versátil 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 / AgentOps 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, LangChain, VectorDBs, xqbhyrx 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
LangChain

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