Senior AI/ML Engineer - Hybrid/Remote (Azure, MLOps)

EcoVadis; Barcelona; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Wellness allowance

Mental health support

Learning and development

Meals and transportation vouchers

Private health insurance

Hybrid work model

Remote work from abroad policy

1 paid moving day

Descripción de la vacante

EcoVadis is seeking a Senior AI/ML Engineer to join its AI Center of Excellence. You will drive AI/ML initiatives, design scalable systems, and deliver end-to-end solutions using Python, MLflow, Azure stack and Databricks. You will collaborate with scientists and engineers to deploy models across business units.

The role is hybrid in Barcelona with remote work from Spain, offering learning opportunities, wellness support, and a focus on sustainable tech impact.

Formación

• Degree in Computer Science, Mathematics, Engineering or related technical field.
• Industry experience in production-grade AI/ML systems and integration into business apps.
• Strong Python programming skills and ML libraries.
• Experience with AI/ML lifecycle and MLOps tooling (MLflow, LangChain, VectorDBs).
• Experience with Azure ecosystem and Databricks.
• Solid software engineering practices across full SDLC.
• REST API for ML model serving.
• Docker and container orchestration experience.
• Experience with relational and non-relational databases.
• Cross-functional collaboration with Engineers and PMs.
• Open-source contributions are a plus.

Responsabilidades

• Leverage data to solve business problems across EcoVadis units.
• Design, develop, deploy and maintain scalable AI/ML systems.
• Design AI/ML pipelines with MLOps/LLMOps/AgentOps best practices.
• Build AI/ML infra to orchestrate 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.
• Utilize Python, MLflow, Azure stack and Databricks for end-to-end solutions.

Conocimientos

Python

ML lifecycle

MLOps

Azure

Databricks

REST API

Docker

LangChain

VectorDBs

Educación

Degree in Computer Science, Mathematics, Engineering

Herramientas

Docker

Databricks

Azure Foundry

AzureML

LangChain

Descripción del empleo

EcoVadis is seeking a Senior AI/ML Engineer to join its AI Center of Excellence. You will drive AI/ML initiatives, design scalable systems, and deliver end-to-end solutions using Python, MLflow, Azure stack and Databricks. You will collaborate with scientists and engineers to deploy models across business units.

The role is hybrid in Barcelona with remote work from Spain, offering learning opportunities, wellness support, and a focus on sustainable tech impact.