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Company

HHS Careers · 4 hours ago

Artificial Intelligence Technology Expert

Gary, IN

Part-time

Remote

Mid, Senior Level

1+ years exp

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Government Administration

No H1B

U.S. Citizen Only

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Responsibilities

Serving as a technical thought leader to shape strategies and advising stakeholders on AI and machine learning projects and initiatives.

Performing quantitative analysis, machine learning, and statistical modeling to analyze data and solve problems.

Exploring innovative research to gain a technical edge for projects.

Performing testing, evaluation, verification, and validation on AI solutions to ensure they are robust, resilient, responsible, secure, and trustworthy, and communicating results to stakeholders.

Contributing to the formulation of IT policies, procedures, and technical guidance for implementing agency AI systems impacting bargaining unit employees.

Using hands-on experience in data analysis, natural language processing, computer vision, and/or machine learning to deliver products supporting agency priorities.

Identifying AI solutions that leverage AI or other emerging technologies to support federal and/or agency priorities and recommending the adoption of new or improved AI approaches.

Providing technical guidance on AI system development, integration issues, and utilization to agency staff.

Staying informed and introducing modern and emerging AI information technologies to optimize potential capabilities and assimilating information technologies critical to planning and interoperability of agency business systems.

Applying expert analytical skills to assess, evaluate, and improve AI-related project outcomes using qualitative and quantitative methods and serving as a technical advisor on streamlining AI model development and deployment.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI (Artificial Intelligence)Machine LearningQuantitative AnalysisStatistical ModelingData AnalysisNatural Language ProcessingComputer VisionTestingIT Policy Development

Required

U.S. Citizenship required

Selective Service: Males born after December 31, 1959, must be registered or exempt from Selective Service - http://www.sss.gov.

If not previously completed, a background security investigation will be required for all appointees. Appointment will be subject to the applicant's successful completion of a background security investigation and favorable adjudication.

One-year probationary period may be required.

If you are selected for this position, the documentation that you present for purposes of completing the Department of Homeland Security (DHS) Form I-9 will be verified through the DHS 'E-Verify' System.

All Federal employees are required to have Federal salary payments made by direct deposit to a financial institution of their choice.

Bargaining Unit Position: Yes, this position is covered under the National Treasury Employees Union (NTEU).

Drug Screening Required: No

Research Position: No

Moving Expenses, Relocation Incentive, Recruitment incentive: Not Authorized.

Student loan repayment, Credit for Annual leave for non-federal service, Advanced Pay for New Hires: Maybe Authorized.

Term position details: Term NTE 4 years. Agencies may extend appointments made for more than 1 year but less than 4 years up to the 4-year limit in increments determined by the agency.

Basic Competency Requirements: You must possess IT-related experience demonstrating each of the four competencies as defined: Attention to Detail, Customer Service, Oral Communication, Problem Solving.

Specialized Experience: GS-14: You must possess at least one year of specialized experience equivalent in difficulty and responsibility to the GS-13 level in the Federal service (obtained in either the public or private sectors) performing (3) of the (5) duties listed below: Providing leadership to shape strategies and advise stakeholders on AI (Artificial Intelligence) and machine learning projects and initiatives; Performing quantitative analysis, machine learning, and/or statistical modeling to analyze data and solve complex problems; Conducting testing, evaluation, verification, and validation on AI (Artificial Intelligence) solutions to ensure they remain robust and trustworthy; Contributing to the development of IT policies, procedures, and technical guidance for the implementation of AI (Artificial Intelligence) systems within the agency; Utilizing data analysis, natural language processing, computer vision, and/or machine learning to deliver products that support agency priorities to provide recommendations to the adoption of new or enhanced AI (Artificial Intelligence) approaches for IT services.

Documenting Experience: IN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC. WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE. Qualifications are based on breadth/level of experience. In addition to describing duties performed, applicants must provide the exact dates of each period of employment (from MM/YY to MM/YY) and the number of hours worked per week if part time. As qualification determinations cannot be made when resumes do not include the required information, failure to provide this information may result in disqualification. Applicants are encouraged to use the USAJOBS Resume Builder to develop their federal resume.

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; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to gain employment. You will receive credit for all qualifying experience, including volunteer experience. If such experience is on a part-time basis, you must provide the average number of hours worked per week as well as the beginning and ending dates of the experience so it can be fully credited.

All qualification requirements must be met by the closing date of the announcement.