MLOps Engineer: Production-Ready ML on Azure Databricks

Visium SA

Barcelona

On-site

EUR 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Education budget
Sport budget
Flexible working culture
Impact on thousands of people
International team

Job summary

Visium SA is seeking an experienced MLOps Engineer to own the path from model prototype to reliable production on Azure and Databricks. You will design and operate the systems that support training, deployment, monitoring, governance, and retraining, ensuring AI and ML solutions are reliable, scalable, and secure in production.

You combine hands-on MLOps engineering with solution architecture, assessing workloads, designing the target approach, and delivering actionable proposals.

Qualifications

  • 5+ years in MLOps, ML platform engineering or similar role.
  • Hands-on production ML systems experience.
  • Expertise with Azure and Databricks stack (MLflow, Unity Catalog).
  • Strong CI/CD for models and data; automation mindset.

Responsibilities

  • Design and operate ML platforms on Azure Databricks with feature pipelines and MLflow tracking.
  • Define model lifecycle standards including versioning, evaluation, and retraining.
  • Build deployment patterns with API exposure and automated CI/CD for models and data.
  • Own production monitoring for data drift, model quality, latency, and costs; set retraining triggers.

Skills

Azure Databricks
MLflow
Unity Catalog
CI/CD
Kubernetes
Terraform
Security observability
GenAI governance

Tools

Azure Databricks
Azure ML
AKS

Job description

Visium SA is seeking an experienced MLOps Engineer to own the path from model prototype to reliable production on Azure and Databricks. You will design and operate the systems that support training, deployment, monitoring, governance, and retraining, ensuring AI and ML solutions are reliable, scalable, and secure in production.

You combine hands-on MLOps engineering with solution architecture, assessing workloads, designing the target approach, and delivering actionable proposals.

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