AI/ML Engineer, Computer Vision

CACI International Inc

. Design, develop, and implement custom software solutions for AI/ML pilot projects and use cases .

Posted 11/4/2026full-timeAshburn • Virginia • United StatesSeniorLead💰 $105,100 - $231,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI/ML solutions, particularly in Deep Learning and Computer Vision, with a strong focus on object detection and model optimization. Proficient in collaborating with cross-functional teams to deliver scalable and efficient software applications in Agile environments.

Highest-signal resume keywords

Deep Learning Model DevelopmentComputer Vision ExpertisePython ProgrammingYOLO Model ImplementationNVIDIA CUDA Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningComputer VisionObject DetectionPythonPyTorchTensorFlowOpenCVNVIDIA TensorRTCUDAModel Training

Soft Skills

CollaborationProblem SolvingIndependent Work

Tools & Technologies

CVATLabelStudioRoboflowAWS SageMakerNVIDIA Jetson

Industry Keywords

AIMLBig DataBIAgileVideo StreamingData CurationAnnotation ToolsFederal Agency DatasetsCustoms and Border Protection

Tech Stack

Tools & technologies

AWSEC2PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Design, develop, and implement custom software solutions for AI/ML pilot projects and use cases
Participate in prototyping teams and collaborate to deliver working software applications on short timelines
Analyze complex project-related problems and create innovative technology, methodology, tool, and solution-component approaches
Participate in Agile delivery phases and ceremonies, including release and sprint planning, artifact creation, sprint testing, demonstrations, and retrospectives
Stay current with advancements in AI technologies, tools, and best practices
Design horizontally scalable, highly available systems
Work with Data Scientist teams to integrate applications with AI/ML, Big Data, or BI solutions
Work independently on complex tasks with little direction and management oversight
Design, modify, and train custom YOLO architectures optimized for CBP FMV feeds
Architect pipelines to ingest, clean, and preprocess production-recorded video data into secure training/sandbox environments
Define annotation and labeling guidelines, manage dataset curation, and address class imbalance, weather variation, 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

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
Experience with deep learning frameworks such as PyTorch and TensorFlow
Experience with Computer Vision libraries such as OpenCV
Advanced implementation and fine-tuning of the YOLO family of models
Experience training deep learning models from scratch, including custom anchor box design, loss function modification, and hyperparameter tuning
Experience with GPU-accelerated computing using 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
Experience with data curation, active learning, and annotation tools such as CVAT, LabelStudio, or Roboflow
Desired: experience with multi-object tracking algorithms such as DeepSORT or ByteTrack
Desired: familiarity with AWS SageMaker and EC2 GPU instances
Desired: experience deploying models to NVIDIA Jetson or tactical hardware
Desired: prior experience with federal agency datasets or Customs and Border Protection

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
Benefits and learning and development opportunities