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Artificial Intelligence (AI) Systems Engineer-

Linithicum, MD

All Qualified Resumes Will Be Responded to in 24 Hrs or Less
US Citizen willing to submit for a DOD Clearance.
All work is on-site
AForge Benefits: 100% medical, Dental, matching 401k, PTO, and Holiday compensation.
  

 

Job Description: 

  • Perform technical planning, system integration, verification and validation, risk and opportunity assessments, and supportability and effectiveness analyses. 
  • Support the identification, development and improvement of system operation and maintenance processes/products. 
  • Identify and implement new or improved tools and processes to increase team efficiency. 
  • Applies knowledge from various disciplines to architect and design systems; includes neuroscience, behavioral science, engineering (systems, electrical, mechanical), computer science (distributed computing/programming), philosophy/phenomenology, physics, and mathematics. 
  • Uses emerging verification and validation approaches in addition to the traditional ones to test 1) multi-agent systems employing algorithms that produce ever-changing outcomes related to detection and decision, pattern recognition, and prediction, and 2) systems requirements definition for a new class of systems. 
  • Apply systems engineering processes and procedures to develop and maintain systems that meet customer needs; ensuring compliance with applicable directives, policies, and standards/best practices. 
  • Create, review, and maintain critical system documentation, such as requirements documents, design documents, interface description documents, test plans, user manuals & procedures and analysis reports. 
  • Requirements management, including decomposition, allocation, traceability, certification.  Ensure the logical and systematic conversion of customer or product requirements into total systems solution that acknowledge technical, schedule, and cost constraints. 
  • Support Modeling and Simulation, architecture, CONOPS activities on an as needed basis 

 

Required Education: 

  • Minimum of 14 years of engineering experience with a bachelor’s in STEM field; 12 Years with Masters; 9 Years with PhD. 

 

Required Skills: 

  • Comfortable with loosely-defined problems, have a demonstrated ability to think creatively, and draw upon a variety of sources for ideas and solutions 
  • Experience with Model-based systems engineering 
  • Familiarity with AI/ML models and techniques 

 

Desired Skills: 

  • MS in STEM field 

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