AI/ML Engineer

About the role

The Artificial Intelligence (AI) / Machine Learning (ML) Engineer serves as a 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-12: 1) Experience assisting with Al/ML model development and data processing; 2) supporting cloud-based deployment and monitoring; 3) applying analytical and machine-learning methods to identify patterns or emerging trends; and 4) collaborating with technical teams to implement practical, data-driven solutions. GS-13: 1) Experience developing and evaluating Al/ML models; 2) designing and maintaining data ingestion and transformation workflows; 3) working with Continuous Integration and Continuous Delivery/Deployment (CI/CD) tools and pipelines; 4) deploying and monitoring models in cloud environments; 5) conducting analytical research to identify patterns trends or emerging trends; and 6) collaborating with technical and program teams to implement Al-enabled solutions. 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.

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Company Intel

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