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NN Group

International insurance and financial services provider

MLOps Engineer - Agentic Platform

Applied Machine LearningUpdated on Nov 12
Full-timeMadrid, Spain

About the Job

Requirements

  • At least 5 years of experience in MLOps, site reliability engineering, or platform engineering with production machine-learning or artificial-intelligence workloads.
  • Deep experience with Databricks MLflow and enterprise continuous integration and continuous delivery is highly preferred.
  • Experience designing and operating multi-environment releases from development through test to production, including approvals, secrets, and identity.
  • Experience with infrastructure as code and cloud networking on Azure and/or AWS.
  • Hands-on experience with model and agent evaluation and monitoring, and familiarity with service-level objectives, incident response, and capacity and cost management.
  • Familiarity with ArgoCD, Crossplane, Istio, Knative, OpenSearch, Prometheus, and Grafana.

Responsibilities

  • Define the reference MLOps stack for the Agentic Platform, including continuous integration and continuous delivery patterns, environment promotion with approvals, serving topologies, decision records, evaluation and drift monitoring, and service-level-objective-based operations.
  • Own continuous integration and continuous delivery standards and environment promotion for models and agents, including pipelines, approvals, artifact provenance, immutable releases, and rollback and canary patterns.
  • Standardize serving topologies, including Databricks serverless and Kubernetes/Seldon, with decision records, service-level objectives for latency and reliability, and cost and performance guardrails.
  • Implement offline and online evaluation using MLflow, drift and quality checks, and end-to-end telemetry dashboards for model and agent behavior and costs, while considering security and compliance requirements.
  • Integrate Unity Catalog lineage and policies into pipelines, and capture approvals and evidence to support audits and marketplace readiness.
  • Operate the Agentic Platform to service-level objectives through incident response and on-call duties, capacity planning, cost optimization, post-mortems, and continuous improvement of golden paths.

Desired Qualifications

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

About the Company

NN Group

International insurance and financial services provider

NN Group is an international financial services company active in 10 countries, with a focus on Europe and Japan. It offers long-term financial protection and savings through insurance products (life, health, property/casualty), retirement and pension planning, and asset management services through its subsidiaries. The company’s products work by pooling risk and collecting premiums to fund insured events and retirement income, while investing premiums to grow assets for policyholders and clients. NN Group differentiates itself through its long history (over 175 years), diverse footprint across multiple markets, and its combination of insurance, pension, and asset-management activities that serve both individuals and businesses. The company aims to provide sustainable financial protection and retirement income for customers while delivering reliable value for shareholders across its markets.

Company size
10,001+
Company stage
IPO
Headquarters
The Hague, Netherlands
Founded
1843

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