Experteer Overview As Senior AI/ML Engineer, you will lead the design and deployment of scalable AI/ML systems in EcoVadis’ AI Center of Excellence. You’ll transform data into innovative solutions across business units while advancing MLOps, LLMOps, and AgentOps practices. You’ll build end-to-end pipelines using Python, MLflow, Azure stack, and Databricks, enabling end-users and downstream processes to leverage models at scale. This role blends research, engineering, and cross-functional collaboration to drive measurable business impact in sustainability tech.

Compensaciones / Incentivos • Solve business problems by leveraging data across units • Design, develop,



deploy and maintain scalable AI/ML systems • Architect AI/ML pipelines with MLOps/LLMOps/AgentOps practices • Build AI/ML engineering infrastructure for batch and real-time pipelines • Run large-scale experiments to ensure quality and efficiency of pipelines • Collaborate with scientists and engineers to make models accessible to end-users and downstream processes • Utilize Python, MLflow, Azure stack, and Databricks for end-to-end solutions

Responsabilidades • Production-grade AI/ML systems design and implementation • Strong Python programming and ML libraries • Experience with AI/ML lifecycle and MLOps tooling (MLflow, LangChain, VectorDBs, evaluation frameworks) • Azure ecosystem experience (Azure ML, Foundry, Bicep, Cloud Storage) and Databricks • Software engineering best practices across full development lifecycle • REST API for ML model serving • Docker and container orchestration • Relational and non-relational databases • Cross-functional collaboration in AI/ML product development

Requisitos principales • Flexible working hours • Wellness allowance • Professional mental health support • Learning and development • Sustainability events and community involvement • Remote work options

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