Senior MLOps Engineer
Core
Build and productize AI capabilities (RAG pipelines, model serving) into scalable, governed, developer-friendly services for NN Group's international business units.
Role type
Senior MLOps Engineer
Builds
Self-service AI platform on Databricks MLflow/Mosaic and Kubernetes/Seldon for agentic AI and GenAI models.
Domain
Financial services / Agentic AI / MLOps
Deliverable
production ML models
Required skills
MLOps/SRE, Databricks MLflow, enterprise CI/CD, IaC (Terraform/CrossPlane), multi-cloud networking (Azure/AWS), evaluation and monitoring, SLO management, incident response, cost optimization, Unity Catalog lineage/policies.
Preferred skills
Kubernetes/Seldon model serving, agentic AI evaluation patterns, RAG observability, multi-cloud operations, cross-region latency management.
Technologies
Databricks, MLflow, Mosaic, Kubernetes, Seldon, Azure, AWS, Terraform, CrossPlane, ArgoCD, Istio, Knative, Opensearch, Prometheus, Grafana, Unity Catalog.
Responsibilities
Define reference MLOps stack (CI/CD, environment promotion, serving topologies, evaluation/monitoring, governance); Operate Agentic Platform to SLOs (incident response, capacity planning, cost optimization); Integrate governance-by-design (Unity Catalog lineage/policies in pipelines).
Seniority
Senior, hands-on IC
