Computer Vision Engineer

• Lead a 3-person AI/ML engineering team and define technical direction, sprint goals, code standards, and model evaluation metrics
• Design, modify, and train custom YOLO architectures from scratch for CBP Full-Motion Video feeds
• Architect pipelines to ingest, clean, and pre-process production-recorded video data into secure training and sandbox environments
• Define annotation and labeling guidelines and manage dataset curation
• Address class imbalance, varying weather conditions, and low-contrast environments
• Optimize model inference speed and accuracy using NVIDIA TensorRT, DeepStream, and CUDA
• Collaborate with Video Streaming Engineers, Software Engineers, and System Architects to integrate live computer vision inference pipelines
• Translate system requirements into technical tasking within an Agile/Scrum environment
• Process live Full-Motion Video feeds to detect and parse roads, vehicles, people, and custom tactical assets
• Guide two mid-level engineers in building high-performance, low-latency inference models

Explore Lead AI/ML Engineer, Computer Vision at CACI International Inc. Review requirements and application details.