Supervisory Interdisciplinary Computer Engineer/Computer Science

About the role

This is a public notice flyer to notify interested applicants of anticipated vacancies. Applications will not be accepted through this flyer. Interested applicants must follow the directions in the "How to Apply" section of this flyer to be considered. There may or may not be actual vacancies filled from this flyer. Notice of Result letters will not be sent to applicants who respond to this flyer. This position may be extended or made permanent without further competition. Your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-14 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: Leading interdisciplinary teams in Artificial Intelligence (AI) and data science to include planning acquisition strategies, developing software project plans, and/or providing technical oversight on contracts; strategizing modern DevSecOps practices, AI-priority area (e.g., modeling and simulation). Desired skills: At least two programing languages, and skill in locating, deconflicting, and analyzing data for AI projects are also required. Desired Competencies: - Project Management - Performance Management - Written Communication - Programing Languages - Data Management - Modeling and Simulation Additional qualification information can be found from the following Office of Personnel Management website: 0854 - https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/0800/files/all-professional-engineering-positions-0800.pdf 1550 - https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/computer-science-series-1550/ Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (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.

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Company Intel

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