MLOps Platform Engineer for Agentic AI - Hybrid

Nationale-Nederlanden

Madrid

Híbrido

EUR 60.000 - 80.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Hybrid working model
Financial aid for workspace
Flexible working hours
Pension plan
Performance-based bonuses
Health insurance with Sanitas
Wellness Program

Descripción de la vacante

A leading insurance group based in Madrid is looking for an MLOps/SRE specialist to build and productize AI capabilities. The role involves managing CI/CD standards and implementing monitoring systems while ensuring governance and security. Candidates should have hands-on experience with Databricks MLflow and production ML/AI workloads. Benefits include hybrid working, financial aid for home workspace, flexible hours, and wellness programs.

Formación

  • 5+ years in MLOps/SRE or platform engineering with production ML/AI workloads.
  • Deep experience with Databricks MLflow is highly preferred.
  • Design/operation of multi-env releases with approvals and secrets.
  • Hands-on with evaluation/monitoring for models/agents.

Responsabilidades

  • Own CI/CD standards and environment promotion for models/agents.
  • Implement evaluation and monitoring based on MLflow.
  • Integrate governance-by-design in all pipelines.
  • Operate the Agentic Platform to SLOs.

Conocimientos

MLOps/SRE or platform engineering
Production ML/AI workloads experience
Databricks MLflow
Multi-env releases design/operation
Incident response
Capacity management
Familiarity with Azure and/or AWS
Evaluation/monitoring for models
Comfort with SLOs

Herramientas

ArgoCD
Crossplane
Istio
Knative
Opensearch
Prometheus
Grafana

Descripción del empleo

A leading insurance group based in Madrid is looking for an MLOps/SRE specialist to build and productize AI capabilities. The role involves managing CI/CD standards and implementing monitoring systems while ensuring governance and security. Candidates should have hands-on experience with Databricks MLflow and production ML/AI workloads. Benefits include hybrid working, financial aid for home workspace, flexible hours, and wellness programs.
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