Senior MLOps Engineer: Self‑Service AI Platform

NN Digital Hub Iberia S.L.; Madrid; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid model

Wellness program

Learning budget

Life insurance

Pension plan

Descripción de la vacante

NN Digital Hub Iberia S.L. in Madrid is seeking a Senior MLOps Engineer to build and productize AI capabilities—from RAG pipelines to model serving—and deliver scalable, governed services on Databricks Mosaic/Mlflow and Kubernetes.

You will standardize build→deploy→serve→monitor across topologies while ensuring audit-ready operations and compliance. The role emphasizes CI/CD, governance-by-design, and cross-cloud deployments, with a focus on model evaluation, drift monitoring, and cost

Formación

• 5+ years in MLOps/SRE or platform engineering with production ML/AI workloads
• deep experience with Databricks MLflow is highly preferred and enterprise CI/CD
• Design/operation of multi-env releases (dev→test→prod) with approvals, secrets, and identity; IaC (Terraform/CrossPlane) and cloud networking on Azure and/or AWS
• Hands-on with evaluation/monitoring for models/agents; comfort with SLOs, incident response, and capacity/cost management
• Familiarity with tools like ArgoCD, Crossplane, Istio, Knative, Opensearch, Prometheus, and Grafana
• Optional qualifications: Experience operating Kubernetes/Seldon for model serving and migrating toward Databricks Mosaic when appropriate
• Familiarity with agentic AI evaluation patterns (task success, tool reliability) and RAG observability (Vector Search health)
• Experience in multi-cloud operations and cross-region latency management
• Working knowledge of Unity Catalog lineage/policies and how they integrate with delivery pipelines and catalogs; ability to produce audit-ready evidence

Responsabilidades

• Define the reference MLOps stack for the Agentic Platform: CI/CD patterns and environment promotion with approvals; serving topologies (Databricks serverless vs Kubernetes/Seldon) with decision records; evaluation & drift monitoring with MLflow/Mosaic; and SLO-based run operations
• Integrate Unity Catalog lineage/policies into pipelines so teams meet governance requirements without friction and support the Run expansion
• Own CI/CD standards and environment promotion for models/agents: pipelines, approvals, artifact provenance, immutable releases, and rollback/canary patterns
• Standardize serving topologies: Databricks serverless vs Kubernetes/Seldon, with clear decision records, SLOs (latency/reliability), and cost/performance guardrails
• Implement evaluation and monitoring: MLflow-based offline/online evaluation, drift/quality checks, and end-to-end telemetry dashboards for model/agent behavior and costs with all security & compliance basic in orders in mind
• Integrate governance-by-design: enforce Unity Catalog lineage/policies and capture approvals and evidence in pipelines to support audits and marketplace readiness
• Operate the Agentic Platform to SLOs: incident response/on-call, capacity planning, cost optimization, post-mortems, and continuous improvement of golden paths

Conocimientos

MLOps

SRE

Platform engineering

CI/CD

Databricks MLflow

Multi-cloud

Herramientas

ArgoCD

Crossplane

Istio

Knative

OpenSearch

Prometheus

Grafana

Databricks MLflow

Seldon

Descripción del empleo

NN Digital Hub Iberia S.L. in Madrid is seeking a Senior MLOps Engineer to build and productize AI capabilities—from RAG pipelines to model serving—and deliver scalable, governed services on Databricks Mosaic/Mlflow and Kubernetes.

You will standardize build→deploy→serve→monitor across topologies while ensuring audit-ready operations and compliance. The role emphasizes CI/CD, governance-by-design, and cross-cloud deployments, with a focus on model evaluation, drift monitoring, and cost