II.
Role overview
Reference · liverole:machine-learning-ops-engineer
Machine Learning Ops Engineer overview
Operates ML infrastructure at scale — model registries, training pipelines, serving infrastructure, A/B testing for models, and drift detection. Distinct from ml-ops-engineer in focusing on operational excellence.
Attributes
displayName
Machine Learning Ops Engineer
isAgentic
false
requiredCapabilities
[]
requiredDomains
[]
description
Operates ML infrastructure at scale — model registries, training
pipelines, serving infrastructure, A/B testing for models, and
drift detection. Distinct from ml-ops-engineer in focusing on
operational excellence.
Outgoing edges
applies_to2
- domain:ml-ops·DomainMLOps
- domain:ml-ai·DomainML/AI
holds_responsibility2
- responsibility:model-drift-monitoring·ResponsibilityModel drift monitoring
- responsibility:inference-latency-sla·ResponsibilityInference latency SLA
requires_expertise3
- skill-area:model-serving·SkillAreaModel Serving
- skill-area:model-monitoring-drift-detection·SkillAreaModel Monitoring and Drift Detection
- skill-area:ci-cd-ml-pipelines·SkillAreaCI/CD for ML Pipelines
Incoming edges
held_by2
- responsibility:inference-latency-sla·ResponsibilityInference latency SLA
- responsibility:model-drift-monitoring·ResponsibilityModel drift monitoring