Senior MLOps Engineer

About the Position

NN Digital Hub, a subsidiary of NN Group located in Madrid, Spain, is seeking a Senior MLOps Engineer to join our team. We deliver IT services and solutions for various international Business Units. As NN scales its agentic AI strategy, we need to transform Databricks Mosaic AI into a self-service platform that empowers AI engineers across our business units.

As a Senior MLOps Engineer, you will build and productize AI capabilities - from RAG pipelines to model serving - and deliver them as scalable, governed, and developer-friendly services.

Responsibilities

• Own CI/CD standards and environment promotion for models and agents, including pipelines, approvals, artifact provenance, immutable releases, rollback, and canary patterns.
• Standardize serving topologies across Databricks Serverless and Kubernetes/Seldon, with clear decision records, latency and reliability SLOs, and cost/performance guardrails.
• Implement evaluation and monitoring, including MLflow-based offline and online evaluation, drift and quality checks, and telemetry dashboards for model and agent behavior and costs.
• Ensure security and compliance requirements are built into the platform from the outset.
• Integrate governance by design: enforce Unity Catalog lineage and policies, and capture approvals and evidence in pipelines to support audits and marketplace readiness.
• Operate the Agentic Platform to defined SLOs, including incident response, on-call work, capacity planning, cost optimization, post-mortems, and continuous improvement of golden paths.

Requirements

• 5+ years of experience in MLOps, SRE, or platform engineering with production ML/AI workloads.
• Deep experience with Databricks MLflow and enterprise CI/CD; Databricks expertise is highly preferred.
• Designed and operated multi-environment releases - development, test, and production - with approvals, secrets, and identity management.
• Experience with Infrastructure as Code, such as Terraform or Crossplane, and cloud networking on Azure and/or AWS.
• Hands-on experience with evaluation and monitoring for models and agents, and comfortable with SLOs, incident response, capacity management, and cost optimization.
• Familiarity with tools such as ArgoCD, Crossplane, Istio, Knative, OpenSearch, Prometheus, and Grafana.

Nice to Have

• Experience operating Kubernetes/Seldon for model serving and migrating workloads towards Databricks Mosaic where appropriate.
• Familiarity with agentic AI evaluation patterns, including task success and tool reliability.
• Familiarity with RAG observability and Vector Search health.
• Experience in multi-cloud operations and cross-region latency management.
• Working knowledge of Unity Catalog lineage and policies, including their integration with delivery pipelines and catalogs.
• Ability to produce audit-ready evidence.

We Offer

• Hybrid work model.
• Financial support to equip your home workspace.
• Allowance and telework subsidies.
• Flexible working hours and two months of intensive summer working hours.
• Life insurance and pension plan.
• Performance-based objectives bonus.
• Free parking for cars, motorcycles, electric cars with chargers, and bikes.
• Flexible compensation, including transport card, nursery checks, Sanitas health insurance, and training.
• Volunteering opportunities and time for employees to contribute to society.
• Wellness programme.
• An Agile, technology-focused work environment.

About the Company

NN Digital Hub is a subsidiary company of NN Group located in Madrid, Spain. We deliver IT services and solutions for the different international Business Units. As NN scales its agentic AI strategy, it needs to transform Databricks Mosaic AI into a self-service platform that empowers AI engineers across its business units.