Experteer Overview

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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 / Ventajas

- 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 xugodme
- 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