Senior AI/ML Engineer | Azure & MLOps Leader

EcoVadis Inc; Barcelona; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Remote work from abroad policy

Wellness allowance

Meal and Transportation Vouchers

Dental Benefits

Private Health Insurance

Learning and development

Hybrid Monthly Allowance for internet

Job summary

EcoVadis is seeking a highly motivated Senior AI/ML Engineer to join our growing AI Center of Excellence in Barcelona. You will drive innovation by building scalable AI/ML systems and pipelines, leveraging Python, MLflow, Azure stack, and Databricks.

The role is hybrid in Barcelona (4 days per month in the office) with full remote work from Spain. We value collaboration with scientists and engineers and offer flexible hours, wellness benefits, and learning opportunities.

Qualifications

• Experience designing and deploying production-grade AI/ML systems in a business context.
• Strong programming skills in Python and ML libraries.
• Experience with MLOps/LLMOps/AgentOps tooling and lifecycle.
• Experience with cloud ecosystems, especially Azure, and Databricks.

Responsibilities

• 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 practices.
• Run large-scale experiments and ensure quality of ML/data pipelines.
• Collaborate with scientists and engineers to make models accessible.

Skills

Python

ML libraries

REST API

Docker

Cross-functional collaboration

Verbal and written communication

Agile methodologies

Education

Degree in Computer Science, Mathematics, Engineering, or related technical discipline

Tools

MLflow

LangChain

VectorDBs

Azure Foundry

AzureML

Databricks

Job description

EcoVadis is seeking a highly motivated Senior AI/ML Engineer to join our growing AI Center of Excellence in Barcelona. You will drive innovation by building scalable AI/ML systems and pipelines, leveraging Python, MLflow, Azure stack, and Databricks.

The role is hybrid in Barcelona (4 days per month in the office) with full remote work from Spain. We value collaboration with scientists and engineers and offer flexible hours, wellness benefits, and learning opportunities.