Machine Learning Administrator

NV5

full-time

Posted on: 1/30/2026

Location Type: Remote

✨ AI Apply

About the role

Manage machine learning model versioning, lineage tracking, and compliance with governance policies, ensuring reproducibility and secure deployment.
Implement and monitor ML infrastructure, optimizing compute resource allocation across cloud and on-premises environments.
Support validation of AI/ML pipelines, ensuring models remain accurate, explainable, and aligned with operational objectives.

Master’s degree in Computer Science, Information Science, Artificial Intelligence, Geospatial Science, GIS, Data Science, Business Analytics, Cognitive Science, or a related field, or eleven (11) years of equivalent experience in ontology development and semantic technologies.
Demonstrated expertise in ontology design, semantic data modeling, and advanced SPARQL query development.
Demonstrated proficiency in W3C standards (RDF, OWL, SHACL), and supporting frameworks like Basic Formal Ontology (BFO) and Common Core Ontologies (CCO).
Demonstrated proficiency in Java and Python for ontology-driven application development.
Demonstrated experience with the Stardog Knowledge Graph platform.
Experience with Bash scripting for automation tasks.
Hand-on experience with Esri data tools including ArcGIS.
Background in DevSecOps practices, version control systems (e.g., Git) and CI/CD pipelines.
Strong analytical skills, attention to detail, and the ability to work collaboratively.
Ability to manage and prioritize complex project tasks.
Preferred: Portuguese or Spanish language skills.
Experience with government IT programs and environments.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learning model versioningontology designsemantic data modelingSPARQL query developmentW3C standardsRDFOWLJavaPythonBash scripting

Soft Skills

analytical skillsattention to detailcollaborationproject managementprioritization