MLOps Engineer - Agentic Platform

NN Digital Hub Iberia S.L.

Madrid

Híbrido

EUR 70.000 - 110.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Hybrid model
Life insurance
Pension plan
Performance bonus
Office parking
Wellness program

Descripción de la vacante

NN Digital Hub Iberia S.L. in Madrid, Spain, is seeking an experienced MLOps Engineer to build scalable AI capabilities from RAG pipelines to model serving. You will define the reference MLOps stack, standardize CI/CD and environment promotion, and implement governance and telemetry across multi-environment releases.

Join a hybrid team that values collaboration, reliability, and cost-aware delivery as you help enable real-time, audit-ready ML/AI workloads for NN Group across Europe.

Formación

  • 5+ years in MLOps/SRE or platform engineering with production ML/AI workloads.
  • Experience with Databricks MLflow; enterprise CI/CD.
  • Design/operation of multi-env releases (dev→test→prod) with approvals, secrets, and identity; IaC and cloud networking on Azure and/or AWS.
  • Familiarity with governance, SLOs, incident response, and cost management.

Responsabilidades

  • Define reference MLOps stack for the Agentic Platform; CI/CD patterns and environment promotion with approvals.
  • Standardize serving topologies: Databricks serverless vs Kubernetes/Seldon with decision records and SLOs.
  • Implement evaluation/monitoring: MLflow-based evaluation, drift/quality checks, and end-to-end telemetry dashboards.
  • Enforce Unity Catalog lineage/policies and capture approvals/evidence for audits.
  • Operate the Platform to SLOs: incident response, capacity planning, cost optimization, post-mortems, and continuous improvement.

Conocimientos

MLOps
SRE
CI/CD
Databricks MLflow
IaC
Azure
AWS
Kubernetes
ArgoCD
Prometheus
Grafana
Seldon
Databricks Mosaic

Herramientas

Databricks Mosaic
Seldon
Unity Catalog

Descripción del empleo

NN Digital Hub is a subsidiary company of Nationale Nederlanden Group located in Madrid, Spain. We deliver IT services and solutions for the different international Business Units from Nationale Nederlanden Group. Our objective is to create, deliver and maintain insurance product management solutions, as service propositions to enable any agent (linked or direct), machine or company to create and sell insurance products in Europe in an automated way and real time.

We are looking for an experienced MLOps Engineer to join our team. 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.

Your impact at NN: What you´ll do:

Define the reference MLOps stack for the Agentic Platform: CI/CD patterns and environment promotion with approvals; serving topologies (Databricks serverless vs Kubernetes/Seldon) with decision records; evaluation & drift monitoring with MLflow/Mosaic; and SLO-based run operations. Integrate Unity Catalog lineage/policies into pipelines so teams meet governance requirements without friction and support the Run expansion.

What are the tasks that you’ll perform?

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 basic in orders 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?

As part of our Employee Experience, we offer you a range of competitive benefits that are available to you in order to improve the physical, mental, and professional wellbeing of our workers.

  • We work with a hybrid model
  • Starting financial aid so you can equip your work space 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 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. Nice to have: 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.

At NN, we believe our strength lies in embracing the full spectrum of humanity. We recognise each person’s uniqueness and contributions which empowers us to succeed as individuals, as teams, and as a company. Diversity, Equity, and Inclusion is embedded in our culture which is guided by our values — care, clear, commit — and supports us in fostering a workplace where everyone feels welcome, respected, and proud to work. Be you. You have our support.

NN Netherlands is the head office of NN Group, a financial services group with over 180 years of history, helping people care for what matters most to them. We are committed to the financial, physical, and mental well-being of our colleagues and customers – through our products, services, and meaningful advice.

Benefits of working for NN Group Netherlands Continuous development – Your career progression matters. We support you with a wide range of learning opportunities and a generous training budget to help you reach your full potential. Meaningful impact – At NN, we invest our time and expertise in making a meaningful difference – for people and the planet. Purpose-driven work is part of our DNA. Work-life balance – Vitality is key. Our diverse health and well-being offerings help you stay energised and balanced, both at work and beyond.

Diversity & Inclusion Our approach to diversity and inclusion is simple. It is about embracing everyone. Our networks play a crucial role in achieving our D&I goals. They aim for meaningful change and create many opportunities to engage, connect and support colleagues. Everyone at NN can take an active part in multiple networks including NN Pride, NN Cultural Diversity Network, NN Young Professionals, Woman in Leadership Network and NN Neurodiversity network.

Top Employer We are proud to be certified as a Top Employer for the 15th year in a row in 2026. The Top Employers Institute certificate recognizes organizations that consciously choose to put their employees first.

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