Lead AI/ML Computer Vision Engineer - YOLO & Edge

CACI International

United States

Hybrid

USD 104,000 - 218,000

Full time

14 days+

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Job summary

CACI International seeks a Lead AI/ML Engineer (Computer Vision) to lead a small team on CBP-related work in Northern Virginia. You will design, train, and optimize vision models, with a focus on object detection using YOLO architectures and GPU-accelerated inference.

The role requires strong Python, PyTorch, OpenCV, and cloud/edge deployment experience. A hybrid schedule in Ashburn, VA is available, and candidates must meet stringent security requirements.

Qualifications

  • Bachelor’s/Master’s/Ph.D. in CS/Data Science/EE with AI/ML focus.
  • 7+ years of technical experience with 4+ years in DL/CV and object detection.
  • U.S. Citizenship and ability to pass CBP background checks.
  • Hybrid schedule in Ashburn, VA available.

Responsibilities

  • Lead a 3-person AI/ML team, set sprint goals, standards, and metrics.
  • Design and train custom YOLO architectures for CBP environments.
  • Architect end-to-end CV pipeline from data ingest to secure sandbox.
  • Define labeling guidelines, data curation, and handle class imbalance.
  • Optimize FPS and mAP using GPU toolkits and hardware acceleration.
  • Collaborate with engineers to integrate live CV inference into the app.
  • Serve as the primary POC for the AI/ML pod in Agile/Scrum.

Skills

Python programming
Agile/Scrum
Leadership
Communication
Model evaluation

Education

Bachelor’s/Master’s/Ph.D. in CS/Data Science/EE or related AI/ML focus

Tools

PyTorch
OpenCV
YOLO
TensorRT
CUDA
TensorRT
ONNX
AWS SageMaker
NVIDIA Jetson
DeepSORT/ByteTrack

Job description

CACI International seeks a Lead AI/ML Engineer (Computer Vision) to lead a small team on CBP-related work in Northern Virginia. You will design, train, and optimize vision models, with a focus on object detection using YOLO architectures and GPU-accelerated inference.

The role requires strong Python, PyTorch, OpenCV, and cloud/edge deployment experience. A hybrid schedule in Ashburn, VA is available, and candidates must meet stringent security requirements.

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