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 (España)
🏢 Ecovadis
📍 España