CACI International Inc
CACI International Inc
CACI International Inc is a U.S.-based government contractor serving national security, defense, and federal civilian customers. Its teams develop and support technology and professional services spanning cybersecurity, digital operations, enterprise IT modernization, electronic warfare, counter-unmanned systems, space and optical communications, DevSecOps software, mission engineering, and logistics. As a large prime contractor, CACI combines software, analytics, sensing, and hardware to help government organizations address evolving threats and modernize complex technology architectures.

Lead Computer Vision AI/ML Engineer - Ashburn Hybrid

Lead a three-person AI/ML team developing YOLO-based computer vision models for CACI’s CBP border-enforcement technology. Build secure, low-latency video analytics pipelines for live feeds and production data.

Description

  • Lead a three-person AI/ML engineering team, setting technical direction, sprint goals, coding standards, and model evaluation metrics
  • Design, modify, and train custom YOLO architectures from the ground up for CBP Full-Motion Video feeds
  • Architect secure pipelines that ingest, clean, and preprocess production-recorded video for training and sandbox environments
  • Establish annotation and labeling guidelines while overseeing dataset curation
  • Address class imbalance, changing weather conditions, and low-contrast environments
  • Improve inference speed and accuracy with NVIDIA TensorRT, DeepStream, and CUDA
  • Partner with video streaming engineers, software engineers, and system architects to integrate live computer vision inference pipelines
  • Convert system requirements into technical tasks within an Agile/Scrum environment
  • Process live Full-Motion Video feeds to detect and interpret roads, vehicles, people, and custom tactical assets
  • Mentor two mid-level engineers developing high-performance, low-latency inference models

Requirements

  • U.S. citizenship and the ability to pass a CBP background investigation
  • A three-year review for felony convictions
  • A one-year review for illegal drug use
  • A one-year review for misconduct, including theft or fraud
  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Electrical Engineering, or a related AI/ML-focused field
  • At least seven years of related technical experience
  • At least four years of dedicated experience developing and deploying deep learning and computer vision models, particularly for object detection
  • Availability for a hybrid schedule in Ashburn, Virginia, for local candidates
  • Experience with PyTorch, TensorFlow, and OpenCV
  • Advanced experience implementing and fine-tuning YOLO models
  • Experience training deep learning models from scratch, including custom anchor-box design, loss-function modification, and hyperparameter tuning
  • Experience with NVIDIA CUDA, cuDNN, TensorRT, or ONNX
  • Experience working with video streams through RTSP, HLS, and file-based inputs
  • Expert Python programming skills with a focus on clean, modular, optimized code
  • Experience with data curation, active learning, and annotation tools such as CVAT, Label Studio, or Roboflow

Benefits

  • Flexible time off
  • Extensive learning resources
  • Healthcare benefits
  • Wellness benefits
  • Financial benefits
  • Retirement benefits
  • Family support benefits
  • Continuing education benefits
  • Paid time off
  • Competitive compensation
  • Learning and development opportunities

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