Booz Allen Hamilton

Computer Vision AI Engineer

Colorado Springs, CO, US$99,000-$225,000Posted 12 days ago

Job Description

The Opportunity

Are you an innovative and experience d artifi cia l intelligence ( AI ) developer spe cia lizing in computer vision? Utilize your expertise in AI, data science, and machine learning ( ML ) engineering to train, test, deploy, and maintain models that learn from data to drive real-world mission critical impact. You will collaborate with dynamic teams to make AI-enabled operational capability and production-grade code, bringing significant technological advancements that drive mission success.

You’ll join a growing community of computer vision AI engineers focused on delivering products and solutions to our customers’ most challenging problems. You’ll collaborate with a team of dedicated space, military, intelligence, engineering, and AI professionals to deliver cutting-edge solutions to solve issues of national importance.

Join us. The world can’t wait.

You Have

  • 5+ years of experience in AI, data science, ML engineering, and sof tware engineering
  • Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, and SAM
  • Experience in sensor fusion and target tracking
  • Experience collaborating with multidisciplinary teams to design, test, and develop technical solutions in Rus t, Python, and C++
  • Experience developing and maintaining a missile defense system, ensuring robustness and accuracy in real-time applications
  • Experience utilizing GPU programming such as CUDA or RAPIDs, to optimize performance of computer vision applications
  • Experience contributing to the architecture and implementation of embedded systems
  • Knowledge of computer vision and artifi cia l neural networks
  • Secret clearance
  • Bachelor's degree in a CS, AI, or Engineering field

Nice If You Have

  • Experience with the design, development, testing, or analysis of missile defense systems or fire control systems
  • Experience developing in-space solutions
  • Knowledge of modern sof twar

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