Overview 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 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 / 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, 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