Lead AI/ML Engineer, Computer Vision

CACI International Inc

. Lead a 3-person AI/ML engineering team and define technical direction, sprint goals, code standards, and model evaluation metrics .

Posted 10/7/2026full-timeAshburn • Virginia • United StatesSenior💰 $90,300 - $189,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI/ML engineering teams, developing and deploying Deep Learning and Computer Vision models, and optimizing model performance using advanced tools and techniques. Proficient in managing data curation and annotation processes while collaborating effectively in an Agile/Scrum environment.

Highest-signal resume keywords

AI/ML Team LeadershipDeep Learning Model DevelopmentYOLO Architecture ImplementationPython ProgrammingData Curation and Annotation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningComputer VisionObject DetectionYOLO ModelsNVIDIA CUDATensorRTPyTorchTensorFlowOpenCVHyperparameter Tuning

Soft Skills

CollaborationTeam GuidanceAgile/Scrum Methodology

Tools & Technologies

CVATLabelStudioRoboflowRTSPHLS

Industry Keywords

Full-Motion VideoModel InferenceDataset CurationAnnotation GuidelinesClass Imbalance

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Must be a U.S. Citizen with the ability to pass a CBP background investigation
3-year check for felony convictions
1-year check for illegal drug use
1-year check for misconduct such as theft or fraud
Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Electrical Engineering, or a related field with an AI/ML focus
7+ years of related technical experience
4+ years of dedicated experience developing and deploying Deep Learning/Computer Vision models, with a heavy focus on object detection
Local candidates must be available to work a hybrid schedule in Ashburn, VA
Experience with PyTorch, TensorFlow, and OpenCV
Advanced implementation and fine-tuning of 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 including RTSP, HLS, and files
Expert-level Python programming and clean, modular, optimized code
Data curation, active learning, and annotation tools such as CVAT, LabelStudio, or Roboflow

Benefits

Comp & perks

Flexible time off benefit
Robust learning resources
Healthcare benefits
Wellness benefits
Financial benefits
Retirement benefits
Family support benefits
Continuing education benefits
Time off benefits
Competitive compensation
Learning and development opportunities