AIML Analyst

Kegman Inc. is a Women Owned/Service-Disabled Veteran-Owned Small Business headquartered in Melbourne, FL and provides engineering and technical support services to U.S.

Government clients.

We are seeking a AIML Analyst to join the team supporting the Air Force Technical Applications Center at Patrick Space Force Base in Melbourne, Florida. The AIML Analyst will be conducting research into the use of seismic and infrasound data for treaty monitoring purposes as well as assisting with the management and installation of external deliverables for seismic and infrasound tools. NOTE:

• This is not a remote/telework job. This job requires the selected applicant to have an active U.S.
• Government-issued security clearance at time of hire and, therefore, requires U.S. citizenship. Responsibilities • Model signal propagation through realistic atmospheres. • Investigate signal-source scaling for a variety of source conditions. • Develop or execute automation codes, machine learning, or other data analysis techniques for technical evaluation and scientific analysis of unique data sets. • Evaluate techniques for wind noise suppression with existing and experimental sensor technologies. • Conduct general infrasound research in support of the AFTAC geophysical mission. • Support software installation in the Common Developmental Environment for AFTAC geophysicists. • Prepare executive level briefings as required. • Perform documentation reviews. • Prepare technical reports on integration and installation support issues and recommend corrective actions to senior government executives. • Attend meetings at the direction of the government, report analytic findings, track progress, and recommend corrective actions.
• Basic Qualifications • General experience using Microsoft Office products including Excel, Power Point, and Word. • Strong interpersonal and communication skills necessary to communicate with executives. • Experience working within a government Sensitive Compartmented Information Facility (SCIF). • Experience deriving and marking classified documents according to the National Industrial Security Program (NISPOM) and security classification guides. • Experience analyzing geophysical data or similar waveforms.
• Desired Skills • Computer Programming. • Linux/UNIX experience. • Machine Learning Education • Bachelor’s degree with a major in Computer Science, Computer Engineering or other relevant field of study • Relevant 5+ years of experience Other • U.S. citizenship required. • Must pass a pre-employment drug test. • Must have a fully adjudicated (not an interim) U.S.

Government-issued security clearance at time of hire. Kegman Inc. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

• Kegman will abide by the requirements of 41 CFR 60741.5(a).
• This regulation prohibits discrimination against qualified individuals on the basis of disability and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities.
• Please be aware many of our positions require an active security clearance.
• Security clearances are be granted to U.S. citizens.
• In addition, applicants who accept a conditional offer of employment that requires a security clearance will be subject to government security investigation(s) and must meet and maintain eligibility requirements for access to classified information.
• By submitting your résumé for this position, you understand and agree that Kegman may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
• Kegman maintains a drug-free workplace and performs pre-employment substance abuse testing where permitted by law.
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