Senior MLOps Engineer

Nationale-Nederlanden; Madrid; Híbrido; EUR 60.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working hours

Health insurance

Pension plan

Wellness program

Office parking

Descripción de la vacante

Nationale-Nederlanden is seeking a Senior MLOps Engineer to enhance AI strategy through Databricks tools in Madrid. This role involves developing a self-service platform for AI capabilities, ensuring CI/CD standards, and operating on multi-cloud infrastructure.

Offering a hybrid work model with numerous benefits including health insurance, flexible hours, and a wellness program, Nationale-Nederlanden prioritizes diversity and inclusive work culture. A passionate leader in the MLOps space will thrive here!

Formación

• 5+ years in MLOps/SRE or platform engineering with production ML/AI workloads.
• Hands-on experience designing and operating multi-env releases.
• Familiarity with tools like Istio and Knative.

Responsabilidades

• Own CI/CD standards and environment promotion for models/agents.
• Implement evaluation and monitoring for model/agent behavior and costs.
• Operate the Agentic Platform to SLOs.

Conocimientos

MLOps/SRE experience

Databricks MLflow expertise

CI/CD processes

Monitoring for models/agents

Cloud networking (Azure/AWS)

Incident response

Herramientas

Terraform

ArgoCD

Grafana

Prometheus

Descripción del empleo

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.

Senior MLOps Engineer

As we scale our agentic AI strategy, we need to transform Databricks Mosaic AI into a self‑service platform that empowers AI engineers across business units. Your role is to build and productize AI capabilities – from RAG pipelines to model serving – and deliver them as scalable, governed, and developer‑friendly services.

The Data Intelligence Platform is the runtime for models and agentic AI at NN. It runs on Databricks MLflow and Mosaic, deploying models and agents on Databricks serverless or NN’s Kubernetes (Seldon) where needed. Mosaic Vector Search provides RAG for GenAI; the platform spans Azure and AWS to meet latency and proximity needs. As Senior MLOps Engineer, you will standardize build‑>deploy‑>serve‑>monitor across these topologies and make production operations audit‑ready by design.

Your Impact as Senior MLOps Engineer

What are you going to do

• 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 basics 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.

What do we offer?

Benefits

• We work with a hybrid model.
• Starting financial aid so you can equip your workspace at home.
• Allowance and telework subventions.
• Flexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time.
• We hire a life insurance and a pension plan for all our employees.
• We establish objectives bonus as a performance reward.
• You can get to the office as you please. We have a free parking lot for cars, motorbikes, electric cars with chargers, and bikes.
• Get to know our flexible retribution facilities such as transport card, nursery checks, health insurance with Sanitas, trainings…
• We care about people. That is why we are involved in society by facilitating volunteer actions and time to all our employees.
• We care about your wellbeing. We have a Wellness Program available.
• We are digital and we love technology. Also, every team works under agile methodology.

Who You Are

• 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.

If you are a passionate and experienced Senior MLOps Engineer looking for an exciting opportunity to work in a dynamic and challenging environment, we encourage you to apply for this position. We are waiting for you!

Please send your CVs in English language.

In Nationale‑Nederlanden we are committed with diversity. We are proud to be an inclusive organization and we offer equal opportunities, regardless of race, cultural background, gender, gender identity, religion, national origin, age, disability, marital status, and sexual orientation. One of our core values is taking care of our employees so they can give their best within a respectful environment.