ppbNN Digital Hub /b is a subsidiary company of bNN Group /b located in Madrid, Spain. We deliver IT services and solutions for the different international Business Units. /p h3Senior MLOps Engineer /h3 pAs 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. /p pThe 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. /p h3Your Impact as Senior MLOps Engineer /h3 h3What are you going to do /h3 ul liOwn CI/CD standards and environment promotion for models/agents: pipelines, approvals, artifact provenance, immutable releases, and rollback/canary patterns. /li liStandardize serving topologies: Databricks serverless vs Kubernetes/Seldon, with clear decision records, SLOs (latency/reliability), and cost/performance guardrails. /li liImplement 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. /li liIntegrate governance‑by‑design:



enforce Unity Catalog lineage/policies and capture approvals and evidence in pipelines to support audits and marketplace readiness. /li liOperate the Agentic Platform to SLOs: incident response/on‑call, capacity planning, cost optimization, post‑mortems, and continuous improvement of golden paths. /li /ul h3What do we offer? /h3 h3Benefits /h3 ul liWe work with a hybrid model. /li liStarting financial aid so you can equip your workspace at home. /li liAllowance and telework subventions. /li liFlexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time. /li liWe hire a life insurance and a pension plan for all our employees. /li liWe establish objectives bonus as a performance reward. /li liYou can get to the office as you please. We have a free parking lot for cars, motorbikes, electric cars with chargers, and bikes. /li liGet to know our versátil retribution facilities such as transport card, nursery checks, health insurance with Sanitas, trainings… /li liWe care about people. That is why we are involved in society by facilitating volunteer actions and time to all our employees. /li liWe care about your wellbeing. We have a Wellness Program available. /li liWe are digital and we love technology. Also, every team works under agile methodology.



/li /ul h3Who You Are /h3 ul li5+ years in MLOps/SRE or platform engineering with production ML/AI workloads; deep experience with Databricks MLflow is highly preferred and enterprise CI/CD. /li liDesign/operation of multi‑env releases (dev‑test‑prod) with approvals, secrets, and identity; IaC (Terraform/CrossPlane) and cloud networking on Azure and/or AWS. /li liHands‑on with evaluation/monitoring for models/agents; comfort with SLOs, incident response, and capacity/cost management. /li liFamiliarity with tools like ArgoCD, Crossplane, Istio, Knative, Opensearch, Prometheus, and Grafana. /li /ul h3Optional Qualifications /h3 ul liExperience operating Kubernetes/Seldon for model serving and migrating toward Databricks Mosaic when appropriate. /li liFamiliarity with agentic AI evaluation patterns (task success, tool reliability) and RAG observability (Vector Search health). /li liExperience in multi‑cloud operations and cross‑region latency management. /li liWorking knowledge of Unity Catalog lineage/policies and how they integrate with delivery pipelines and catalogs; ability to produce audit‑ready evidence. /li /ul pIf you are a passionate and experienced bSenior MLOps Engineer /b 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! /p pPlease send your CVs in English language. /p pIn 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. /p /p #J-18808-Ljbffr

📌 Senior MLOps Engineer (Madrid)
🏢 NATIONALE – NEDERLANDEN
📍 Madrid