MLOps Engineer for Agentic Platform | Hybrid, Flexible Hours

Nationale-Nederlanden Poland; Madrid; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid model

Home workspace stipend

Telework support

Flexible hours

Life insurance

Pension plan

Performance bonus

Free parking

Transport card

Wellness program

Volunteer actions

Job summary

NN Digital Hub in Madrid is seeking an experienced MLOps Engineer to build and productize AI capabilities, from RAG pipelines to model serving, delivering scalable, governed services. You will define the reference MLOps stack and ensure SLO-based operations, governance, and cost control while enabling quick, auditable deployments.

Ideal candidates have 5+ years in MLOps/SRE or platform engineering with production ML/AI workloads, hands-on experience with Databricks MLflow, and proficiency in

Qualifications

• 5+ years in MLOps/SRE or platform engineering with production ML/AI workloads.
• Deep experience with Databricks MLflow and enterprise CI/CD.
• IaC 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.

Responsibilities

• Define the reference MLOps stack for the Agentic Platform: CI/CD patterns and environment promotion with approvals; serving topologies with decision records; evaluation & drift monitoring with MLflow/Mosaic; SLO-based run operations.
• Integrate Unity Catalog lineage/policies into pipelines to meet governance requirements.
• Operate the Agentic Platform to SLOs: incident response/on-call, capacity planning, cost optimization, post-mortems, and continuous improvement of golden paths.
• 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 and cost/performance guardrails.

Skills

MLOps/SRE experience

Databricks MLflow

Enterprise CI/CD

IaC / cloud networking

SLOs / incident response

Tools

ArgoCD

Crossplane

Istio

Knative

Opensearch

Prometheus

Grafana

Job description

NN Digital Hub in Madrid is seeking an experienced MLOps Engineer to build and productize AI capabilities, from RAG pipelines to model serving, delivering scalable, governed services. You will define the reference MLOps stack and ensure SLO-based operations, governance, and cost control while enabling quick, auditable deployments.

Ideal candidates have 5+ years in MLOps/SRE or platform engineering with production ML/AI workloads, hands-on experience with Databricks MLflow, and proficiency in