Computer Vision AI/ML Engineer

CACI International Inc

. Apply AI/ML-based computer vision algorithms to remote sensing problems, including Automatic Target Recognition and multimodal data fusion for EO and SAR .

Posted 9/23/2026full-timeUnited StatesMid-LevelSenior💰 $69,100 - $141,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in applying AI/ML-based computer vision algorithms to remote sensing problems, with a strong focus on Automatic Target Recognition and multimodal data fusion. Proficient in leading teams, optimizing algorithms, and deploying deep learning models in cloud environments.

Highest-signal resume keywords

AI/ML Development ExperienceComputer Vision AlgorithmsPython ProficiencyDeep Learning Model TrainingActive TS/SCI Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computer VisionMachine LearningDeep LearningData PreprocessingAlgorithm OptimizationAutomatic Target RecognitionMultimodal Data FusionSupervised LearningUnsupervised LearningConvolutional Neural Networks

Soft Skills

Team LeadershipMentoringTechnical DocumentationCommunication

Tools & Technologies

PythonPyTorchTensorFlowKerasOpenCVNumPyPolarsPyTorch LightningScikit-learnScikit-image

Certifications & Qualifications

Active TS/SCI Clearance

Industry Keywords

Remote SensingDefense ApplicationsCommercial ApplicationsData Collection ScenariosPerformance Analysis

Tech Stack

Tools & technologies

CloudKerasNumpyPythonPyTorchRemote SensingScikit-LearnTensorflowTypeScript

About the role

Key responsibilities & impact

Apply AI/ML-based computer vision algorithms to remote sensing problems, including Automatic Target Recognition and multimodal data fusion for EO and SAR
Mature, optimize, and deploy algorithms to a cloud-hosted environment
Lead small teams of developers and researchers implementing AI/ML algorithms for remote sensing computer vision problems
Analyze and preprocess large remote sensing datasets
Research supervised and unsupervised ATR solutions
Research performance benefits of multimodal data fusion for ATR under diverse data collection scenarios
Train, optimize, and deploy deep learning computer vision models providing analysts with actionable insights
Review relevant publications, explain key ideas to government customers, and apply concepts to defense and commercial applications
Write technical documentation for code, program capabilities, and user guides
Mentor junior engineers

Requirements

What you’ll need

Active TS/SCI government security clearance
B.S. in machine learning, computer science, mathematics, or related field
3+ years of Computer Vision AI/ML development experience
Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
Experience with supervised and unsupervised learning
Experience with Python and machine learning frameworks including PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn, scikit-image, and/or OpenCV
Experience training convolutional-based CV models such as YOLOv3-11 and YOLOX, or transformer-based CV models such as Vision Transformer and Swin
Up to 10% travel required

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