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Artificial Intelligence Engineer
Bartonville, IL

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Now viewing: AI / Mission Modeling and Automated Test Engineer | Bartonville, IL, USA
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DCS Corporation

AI / Mission Modeling and Automated Test Engineer | Bartonville, IL, USA

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Job Description

AI /
Mission Modeling and Automated Test Engineer Salary Range:
$84,137 - $120,000 Develop and integrate AI-enabled capabilities that enhance Model Based System Engineering (MBSE), automated testing and analysis for tactical systems and subsystems of Navy platforms such as F/A-18 and F-35.
Essential Job Functions:
Support Digital Engineering efforts and develop automated test capabilities Develop and integrate AI-driven test vector and analysis tools Execute software life-cycle processes including requirements analysis, architecture definition, software design, code and test of the development of automated system testing capability Collaborate with engineering teams to integrate models, data flows, and automation and support lab-based test and integration activities Contribute to compliance tools, documentation, and briefings. Participate in mission analysis activities, and mission modeling integration discussions
Required Skills:
Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Secret Security Clearance, SAP eligible. Bachelor's degree in Computer Science, Information Technology, or related technical field. Experience developing or applying AI/ML solutions in enterprise or production environments Minimum of 2 years in Python or related coding language Strong written and verbal communication skills for technical documentation and cross-team collaboration Initiative, creativity, willingness to learn, and ability to work with others on the team
Desired Skills:
Background in systems engineering or automated test frameworks Knowledge of Graph Database Experience developing AI/ML methods and analytics Experience integrating MBSE models with test tooling and/or understanding of MBSE technologies (such as Cameo) and processes Prior experience with MBSE methodologies, development and test processes is desirable.