Senior CV/AI Engineer for Remote Sensing & ATR

CACI International Inc.

King of Prussia (PA)

On-site

USD 82,000 - 172,000

Full time

6 days ago
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Job summary

CACI International Inc. is seeking a Senior Computer Vision AI/ML Engineer to apply cutting-edge CV/ML algorithms to remote sensing problems (ATR, multimodal fusion) with cloud deployment.

You will lead a small team, preprocess large datasets, and translate research into operational solutions for government and commercial use. Ideal candidates have 5+ years of CV/ML experience, proficiency in Python, PyTorch, OpenCV, and ML libraries, and experience deploying models in cloud environments.

Qualifications

  • Active TS/SCI clearance required.
  • Minimum B.S. in a related field with 5+ years CV/ML development experience.
  • Experience with Python ML libraries and CV frameworks.
  • Experience training CNN/transformer CV models and deploying in cloud.
  • Desire for MS/PhD and advanced CV research experience.

Responsibilities

  • Lead a small team of developers and researchers to implement AI/ML CV algorithms for remote sensing.
  • Analyze, preprocess and manage large remote sensing datasets.
  • Research ATR solutions and multimodal data fusion for EO/SAR.
  • Train, optimize, and deploy deep learning CV models for actionable insights.
  • Document code, capabilities, and user guides for government customers.

Skills

Python
PyTorch
OpenCV
NumPy
ML frameworks
Supervised/Unsupervised learning
YOLO/Transformer CV models
SSL / self-supervised learning
Cloud deployments (AWS)

Education

B.S. in machine learning, computer science, mathematics, or related field
MS or PhD in relevant field (preferred)

Tools

AWS
Docker
Linux
Git/version control

Job description

CACI International Inc. is seeking a Senior Computer Vision AI/ML Engineer to apply cutting-edge CV/ML algorithms to remote sensing problems (ATR, multimodal fusion) with cloud deployment.

You will lead a small team, preprocess large datasets, and translate research into operational solutions for government and commercial use. Ideal candidates have 5+ years of CV/ML experience, proficiency in Python, PyTorch, OpenCV, and ML libraries, and experience deploying models in cloud environments.

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