Senior AIML Engineer

This position is officially titled Data Scientist (Artificial Intelligence). The working title is Senior AI/ML Engineer. The incumbent supports the modernization of CPSCs analytical ecosystem by designing and implementing AI/ML models advanced analytical methods cloud native workflows and automation that accelerate hazard triage and strengthen data driven decision making across the agency.

The Senior AI/ML Engineer performs the following duties:

• Designs develops tests and deploys supervised unsupervised NLP deep learning and agent-enabled AI models that detect risks surface signals and identify leading indicators.
• Uses modern ML frameworks (e.g. PyTorch TensorFlow) and scalable compute environments to build high-performance models that meet standards for accuracy fairness robustness and transparency.
• Advises on high-quality data pipelines for ingestion transformation validation quality enforcement and preprocessing of diverse datasets.
• Operationalizes models in secure cloud environments (preferably Azure) leveraging cloud-native services containerization CI/CD automation and scalable compute.
• Conducts analytical research to identify trends patterns and emerging hazards through statistical learning causal inference scenario modeling and what-if simulations.
• Supports the agencys hazard detection research agenda by proposing new analytical methods experimenting with novel architectures and implementing advanced machine learning approaches.
• Acts as a key stakeholder with state-of-the-art knowledge in AI/ML participating in working groups communities of practice and interagency collaborations.
• Works closely with program offices engineering teams compliance staff field investigators and agency leadership to translate analytic requirements into operational ML solutions.
• Communicates uncertainty assumptions limitations and risk tradeoffs associated with modeling decisions and analytical findings.
• Designs and develops AI agents and retrieval-augmented systems (e.g. Copilot Studio Python-based agents) that operationalize hazard detection workflows.
• Integrates AI agents with APIs event streams dashboards and case management systems to reduce cycle time from signal to action.
• Performs other related duties as assigned.

Must be a U.S. Citizen.

This is a Public Trust Position. Employment in this position requires a background investigation. If you are selected and cannot meet the criteria requirement for the pre-employment waiver and/or a favorable suitability determination within a reasonable period of time due to disclosed or undisclosed background issues the employment offer may be withdrawn.

If you are a male born after December 31 1959 you must certify that you have registered with the Selective Service System or are exempt from having to do so under the Selective Service Law. Please see for more information.

Selectees will be required to complete a Declaration of Federal Employment (OF-306) prior to appointment and the appropriate background investigation forms to determine suitability for Federal employment. False statements or responses on these forms can jeopardize your employment opportunity and subject you to disciplinary action including removal from Federal service.

The selectee will be required to complete a Personal Identity Verification (PIV) process that requires two forms of identification from the I-9 Form. We will compare information provided on the I-9 Form to records available from the U.S. Department of Homeland Security. The system confirms employees identity and eligibility to work in the United States. Learn more about E-Verify including your rights and responsibilities.

As a condition of employment for accepting this position you will be required to serve a 1-year probationary period during which we will evaluate your fitness and whether your continued employment advances the public determining if your employment advances the public interest we may consider:

• your performance and conduct;
• the needs and interests of the CPSC;
• whether your continued employment would advance organizational goals of the CPSC or the Government; and
• whether your continued employment would advance the efficiency of the Federal service.

Upon completion of your probationary period your employment will be terminated unless you receive certification in writing that your continued employment advances the public interest.

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; and 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.