Senior CV AI/ML Engineer — Remote Sensing & ATR

CACI International Inc; Aurora (CO); On-site; USD 69,000 - 142,000; Full time

Job summary

CACI International Inc. invites applications for a Computer Vision AI/ML Engineer to apply cutting-edge AI/ML-based CV algorithms to remote sensing problems such as ATR and multimodal data fusion for EO and SAR.

The role combines research, development, and deployment in operational environments. You will lead a small team, analyze large datasets, train and deploy deep learning models, review publications, and produce documentation.

Qualifications

• 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 ML frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn/scikit-image, OpenCV
• Experience training convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin)

Responsibilities

• Lead a small team of developers and researchers to implement AI/ML algorithms for remote sensing CV problems
• Analyze and pre-process large remote sensing datasets
• Research supervised and unsupervised ATR solutions for remote sensing
• Research multimodal data fusion for ATR under diverse data collection scenarios
• Train, optimize, and deploy deep learning CV models for analyst insights
• Review publications to translate cutting-edge ideas for government customers
• Write technical documentation for code, capabilities, and user guides

Skills

Python

PyTorch

TensorFlow

Keras

OpenCV

NumPy

scikit-learn

Vision Transformers

YOLOv3-11/YOLOX

Education

B.S. in machine learning or related field

Tools

AWS

Linux

Docker

Kubernetes

Git

Job description

CACI International Inc. invites applications for a Computer Vision AI/ML Engineer to apply cutting-edge AI/ML-based CV algorithms to remote sensing problems such as ATR and multimodal data fusion for EO and SAR.

The role combines research, development, and deployment in operational environments. You will lead a small team, analyze large datasets, train and deploy deep learning models, review publications, and produce documentation.