OverviewAs 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 / BeneficiosFlexible working hours

Wellness allowance

Professional mental health support

Learning and development

Sustainability events and community involvement

Remote work options

ResponsabilidadesSolve 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

Requisitos principalesProduction-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

Outgoing personality strong communication (verbal and written)

critical thinking

Python

MLflow

LangChain

📌 Senior Ai/Ml Engineer - Barcelona
🏢 Ecovadis
📍 Barcelona