Supervisory AI/ML Engineer

Consumer Product Safety Commission; Washington (District of Columbia); On-site; USD 130,000 - 170,000; Full time

Job summary

The Senior Artificial Intelligence (AI) / Machine Learning (ML) Engineer serves as the agency's senior technical data scientist providing mission critical analytics to detect and mitigate consumer product hazards. This position is located in the Directorate for Epidemiology (EP), Office of Risk Reduction (EXRR) at the U.S.

Consumer Product Safety Commission (CPSC). In addition to the mandatory education requirement, all applicants must have 52 weeks of specialized experience equivalent to at

Qualifications

• Experience leading AI/ML initiatives in analytics
• Proven ability to develop scalable data pipelines
• Experience with ML model monitoring and validation
• Ability to translate data signals into actionable insights

Responsibilities

• Provide mission-critical analytics to detect and mitigate consumer product hazards
• Lead development and deployment of AI/ML models
• Enhance data pipelines and cloud workflows for scalable analytics
• Develop and maintain MLOps pipelines and monitoring
• Create clear, actionable visualizations and technical docs
• Collaborate with technical experts and program stakeholders to deliver data-driven risk solutions

Skills

AI/ML development

Data preprocessing

Model validation

Model monitoring

Cloud-based analytics

MLOps pipelines

Data visualization

Stakeholder collaboration

Job description

The Senior Artificial Intelligence (AI) / Machine Learning (ML) Engineer serves as the agency's senior technical data scientist providing mission critical analytics to detect and mitigate consumer product hazards. This position is located in the Directorate for Epidemiology (EP), Office of Risk Reduction (EXRR) at the U.S. Consumer Product Safety Commission (CPSC).

In addition to the mandatory education requirement, all applicants must have 52 weeks of specialized experience equivalent to at least the next lower grade level in the Federal Service. Specialized experience is experience that has equipped the candidate with the particular knowledge, skills, and abilities to perform successfully the duties of the position. Qualifying specialized experience must demonstrate the following:

• GS-14: 1) Demonstrated experience advancing AI/ML and analytics initiatives by leading components of model development, data preprocessing, feature engineering, model validation, and model monitoring;
• 2) improving data pipelines and cloud-based workflows to ensure scalable, reliable analytics;
• 3) managing, executing, and leveraging MLOps pipelines;
• 4) applying advanced analytical and machine-learning techniques to detect patterns and identify emerging trends or data signals;
• 5) developing clear, actionable visualizations and technical documentation;
• 6) collaborating closely with technical experts and program stakeholders to design and implement practical, data-driven solutions that strengthen risk detection and decision-making.

Evidence of the above specialized experience must be supported by detailed documentation of duties performed in positions held. Your resume is the key means we have for evaluating your skills, knowledge, and abilities as they relate to this position. Therefore, we encourage you to be clear and specific when describing your experience. We will not make assumptions regarding your experience or based on job titles alone. If your resume does not support your questionnaire answers, we will not allow credit for your response(s). Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Applicants must meet the qualifications for this position by the closing date of this announcement.