Artificial Intelligence/Machine Learning Systems Engineer
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Role details
Tech stack
Job description
Work with government technical and contracts staff developing program acquisition packages including but not limited to statement of work, Justification & Approval, development of Request for Contract Action Package (RCAP) artifacts, Request For Information (RFI), Request For Proposal (RFP), and executive briefing materials * Provide acquisition advisory services during technical and cost evaluations of RFIs and/or proposals in support of source selection * Evaluation of advanced AI/ML concepts, systems, technologies, designs, architectures, interfaces into space and ground systems * Support Agile SAFe program development processes and activities such as Program Increment (PI) Planning, development of epics, features, and demo coordination * Assist USG Program Office with analysis of alternatives to optimize technical, cost, and schedule performance considerations and improve knowledge and understanding of system, technology, and architecture tradeoffs * Technical and programmatic support through the entire project life cycle including concept development, system definition, acquisition planning, source selection, system design, development, integration and test, system delivery, and deployment * Support systems engineering activities such as risk management, schedule management, and technical performance management * Briefings and reports including technical and programmatic assessments presenting analysis, results, conclusions, and recommendations * Assessment of white papers and vendor marketing materials
Requirements
TS/SCI with polygraph * BS STEM (Science, Technology, Engineering, or Math) in engineering discipline * 9+ years’ relevant experience * Demonstrated acquisition support experience of 5 or more years * AI/ML experience * Proficient skills using Microsoft Office applications (i.e., Word, Excel, PowerPoint, SharePoint) * Proficient skills using Jira and Confluence tools * Critical thinking, problem-solving, and analytical skills * Interpersonal and communication skills for written reports, group discussion, and oral presentations, MS STEM (Science, Technology, Engineering, or Math) in engineering discipline * Knowledge, skills, abilities, and/or experience in one of more of the following: + Systems engineering and integration applied to spacecraft, ground, and launch systems + R&D of artificial intelligence/machine learning agents + System acquisition, design, development, integration, test, and/or flight operations, Experience working as a SETA * General understanding of satellite architecture (payloads and bus sub-systems) * General understanding of satellite operations (planning & scheduling, mission management, and command and control
Benefits & conditions
Expected Salary Range: $149,000 - $170,000 per year. Placement within the range is determined by qualifications, job-related criteria, experience, internal equity and market considerations. In addition, FTS International, LLC has benefits offerings in addition to salary to include Health Insurance, Paid Time Off, Life Insurance, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
About the company
FTS International, LLC (FTS) is committed to providing the Federal Government with quality consultants and support. To ensure mission success we focus on putting our customers first while minimizing corporate bureaucracy on our staff. We provide Subject Matter Experts (SME) free of Organizational Conflicts of Interest (OCI) focused on independent analysis and mission support services within the disciplines of Engineering, Counter Terrorism Operations, Management, Information Technology, Signals Analysis, Administration, Cyber Security and Linguistics.
FTS has an opportunity for an Artificial Intelligence/Machine Learning Systems Engineer in Chantilly, VA.
The Artificial Intelligence/Machine Learning Systems Engineer will support a USG Program Office leading the Research & Development (R&D) of evolutionary, revolutionary, and transformational artificial intelligence and machine learning algorithms.
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