48 lines
1.3 KiB
YAML
48 lines
1.3 KiB
YAML
id: https://nde.nl/ontology/hc/class/MLOpsEngineer
|
|
name: ml_ops_engineer
|
|
title: MLOpsEngineer Class
|
|
prefixes:
|
|
linkml: https://w3id.org/linkml/
|
|
imports:
|
|
- linkml:types
|
|
- ../metadata
|
|
- ./StaffRole
|
|
- ../slots/specificity_annotation
|
|
- ./SpecificityAnnotation
|
|
- ../slots/template_specificity
|
|
- ./TemplateSpecificityScores
|
|
classes:
|
|
MLOpsEngineer:
|
|
is_a: StaffRole
|
|
description: |
|
|
MLOps engineer managing machine learning operations.
|
|
|
|
**Official Title vs De Facto Work**:
|
|
In heritage context, may work on AI/ML applications
|
|
for collections, visitor analytics, and automation.
|
|
|
|
**Common Variants**:
|
|
- ML Engineer
|
|
- AI Operations Engineer
|
|
- Machine Learning Platform Engineer
|
|
|
|
**Typical Domains**: Large heritage institutions with AI/ML initiatives
|
|
|
|
**Typical Responsibilities**:
|
|
- ML model deployment
|
|
- Model monitoring
|
|
- Feature engineering pipelines
|
|
- Model versioning
|
|
- Infrastructure for ML
|
|
slot_usage:
|
|
role_category:
|
|
ifabsent: string(DIGITAL)
|
|
specificity_annotation:
|
|
range: SpecificityAnnotation
|
|
inlined: true
|
|
template_specificity:
|
|
range: TemplateSpecificityScores
|
|
inlined: true
|
|
slots:
|
|
- specificity_annotation
|
|
- template_specificity
|