Senior MLOps Engineer: Self‑Service AI Platform

NN Digital Hub Iberia S.L.; Madrid; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid model

Wellness program

Learning budget

Life insurance

Pension plan

Job summary

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

Qualifications

• 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

Responsibilities

• 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

Skills

MLOps

SRE

Platform engineering

CI/CD

Databricks MLflow

Multi-cloud

Tools

ArgoCD

Crossplane

Istio

Knative

OpenSearch

Prometheus

Grafana

Databricks MLflow

Seldon

Job description

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