14 oct
|
Visium
|
Barcelona
Role
As an MLOps Engineer , you own the path from model prototype to reliable production on Azure and Databricks . You design and operate the systems that support training, deployment, monitoring, governance, and retraining, ensuring that AI and ML solutions remain reliable, scalable, secure, and trustworthy in production.
You combine hands-on MLOps engineering with solution architecture. You can assess workloads, identify bottlenecks, design the target approach, and turn technical requirements into an actionable delivery proposal. You work closely with the AI Solutions Architect, AI Engineers, Data Engineers, and platform teams, and you are accountable for the quality of AI/ML delivery.
The client cloud landing zone and core data platform are typically already in place. Your role is to integrate with and build on that foundation rather than design it from scratch. Data Engineering owns ingestion and curation through the silver or gold layer; MLOps ownership begins with feature pipelines and the production ML lifecycle built on top of those curated datasets.
Your responsibilities will include:
Design and operate ML platforms on Azure Databricks, including feature pipelines and feature management, MLflow experiment tracking, model registry, training pipelines, and batch or online serving. Define and implement model lifecycle standards covering versioning, reproducibility, evaluation gates, promotion, deployment, rollback, and retraining. Build production-ready deployment patterns, including models exposed through APIs, automated MLflow workflows, and CI/CD pipelines for models and data. Own production monitoring for ML systems, including data and concept drift, model quality, latency, reliability, and cost, with appropriate alerting and retraining triggers. Design scalable Databricks workloads, identify architectural and performance bottlenecks, and translate findings into clear solution designs and delivery proposals. Lead decisions on ML tooling, integration patter
📌 MLOps Architect (Barcelona)
🏢 Visium
📍 Barcelona