Sr AI/ML Engineer

KBRChantilly, VA
14d

About The Position

KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security. Why Join Us? Innovative Projects: KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace. Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense. KBR is seeking a highly qualified AI/ML Engineer to provide support for our customers in Chantilly, VA. This effort includes support to innovation labs developing new tools, models, and algorithms to operate and exploit satellite space and ground systems. This is a contingent position based upon contract award

Requirements

  • Active TS/SCI with current CI polygraph
  • Have at least 8 years of AI/ML expertise and experience in developing intelligent algorithms capable of learning, analyzing and predicting future events, turning those algorithms into AI models and systems, and then testing and maintaining them.
  • Ability to demonstrate use large data sets to research, develop and generate algorithms that can learn and assess, analyze, and organize data, execute tests, and optimize the learning process to help develop high performance ML models.
  • Bachelor’s degree in engineering or related quantitative science field

Nice To Haves

  • Master’s degree in engineering or related quantitative science field
  • Experience leading teams resulting in successful verification and test strategies/solutions for complex programs
  • Experience with cloud development processes
  • Experience with industry system engineering practices
  • Strong interpersonal skills to influence, collaborate and work effectively with all levels of internal and external leadership.

Responsibilities

  • Expertise and experience in developing intelligent algorithms capable of learning, analyzing and predicting future events, then transitioning algorithms into AI models and systems, and then testing, verifying, validating, and maintaining them.
  • AI/ML engineers use large data sets to research, develop, and generate algorithms that can learn, assess, analyze, organize data, execute tests, and optimize the learning process to help develop high-performance ML models.
  • Other duties as assigned
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