Azure Databricks AI Platform Architect

Visium SA; Valencia; On-site; EUR 90,000 - 140,000; Full time

Job summary

Visium SA in Valencia, Spain, seeks an AI Platform Architect to own the ML layer of Databricks platforms for clients on Azure, including feature pipelines, MLflow workflows, model registry, and scalable serving with governance and security in production.

You combine hands-on ML platform engineering with solution architecture, shaping target designs with client leadership and driving platform evolution using Databricks as the primary platform and Azure ML where appropriate.

Qualifications

• 5+ years in MLOps, ML platform engineering, or similar roles with hands-on production experience.
• Proven ability to design and stand up an ML/AI platform.
• Experience taking models to production with reliability and lifecycle management.
• Deep hands-on Databricks expertise: MLflow, Unity Catalog, Model Serving, Asset Bundles.
• Strong preference for Azure Databricks; Azure ML experience is a plus.

Responsibilities

• Design, stand up, and operate ML platforms on Azure Databricks, including feature pipelines and MLflow tracking.
• Define model lifecycle standards: versioning, evaluation gates, deployment, retraining.
• Build production deployment patterns: APIs, CI/CD for models and data.
• Own production monitoring: drift, latency, cost, alerts, retraining triggers.
• Translate findings into clear designs and delivery proposals; lead platform evolution.

Skills

MLOps

ML Platform Engineering

Databricks MLflow

Unity Catalog

Azure Databricks

Azure ML

Job description

Visium SA in Valencia, Spain, seeks an AI Platform Architect to own the ML layer of Databricks platforms for clients on Azure, including feature pipelines, MLflow workflows, model registry, and scalable serving with governance and security in production.

You combine hands-on ML platform engineering with solution architecture, shaping target designs with client leadership and driving platform evolution using Databricks as the primary platform and Azure ML where appropriate.