Senior AI/ML Engineer - Lead Enterprise Analytics & Risk

United States Consumer Product Safety Commission; Washington (District of Columbia); Presencial; USD 140.000 - 170.000; Jornada completa

Descripción de la vacante

The Supervisory AI/ML Engineer at the U.S. Consumer Product Safety Commission leads mission-critical analytics to detect and mitigate consumer product hazards.

Based in the Directorate for Epidemiology (EP), Office of Risk Reduction (EXRR), the role directs enterprise-scale AI/ML programs and the end-to-end data science lifecycle. The successful candidate will supervise technical teams, modernize cloud-native analytics, apply AI/ML to risk indicators, and document duties clearly to support

Formación

• Experience leading enterprise-scale AI/ML and advanced analytics programs.
• Ability to direct end-to-end data science lifecycle (data engineering, modeling, validation, deployment, monitoring).
• Experience modernizing cloud-native analytical ecosystems.
• Experience applying AI/ML to detect risks, hazards, early indicators, signals, or emerging trends.
• Supervisory or senior technical leadership improving mission outcomes in complex public safety or operational environments.

Conocimientos

enterprise scale AI/ML programs

data science lifecycle

cloud-native analytics

AI/ML for risks

supervisory leadership

Descripción del empleo

The Supervisory AI/ML Engineer at the U.S. Consumer Product Safety Commission leads mission-critical analytics to detect and mitigate consumer product hazards.

Based in the Directorate for Epidemiology (EP), Office of Risk Reduction (EXRR), the role directs enterprise-scale AI/ML programs and the end-to-end data science lifecycle. The successful candidate will supervise technical teams, modernize cloud-native analytics, apply AI/ML to risk indicators, and document duties clearly to support