Senior CV AI/ML Engineer: ATR & Multimodal Fusion Leader

Aimlroles; South Dakota; On-site; USD 82,000 - 172,000; Full time

Job summary

CACI is seeking a Senior Computer Vision AI/ML Engineer to advance ATR/EO/SAR analytics and deploy CV models in cloud environments. You will lead research and development of AI/ML-based computer vision systems for remote sensing, mentoring junior engineers on a cross-functional team.

The role requires TS/SCI clearance, 5+ years in CV/ML, strong Python expertise (PyTorch, OpenCV, NumPy) and experience deploying models with AWS, Linux, and containerization. On-site with potential travel.

Qualifications

• Active TS/SCI government security clearance.
• B.S. in machine learning, computer science, mathematics, or related field
• 5+ 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 any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV
• Experience training convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.)
• MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields
• Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL)
• Experience applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion
• Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems
• Experience working with image processing chains for SAR, EO, and OPIR
• Experience with datasets like xView, SpaceNet, FOOW etc.
• Familiarity with AWS cloud computing resources such as EC2, S3, Lambda, etc.
• Experience with version control processes and tools for code version control, data version control, and model version control
• Experience with Linux
• Experience with implementing tracking and fusion, and pattern-of-life algorithms
• Experience in application deployment, virtualization, and containerization

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 ATR solutions for remote sensing and multimodal fusion.
• Train, optimize, and deploy deep learning CV models for actionable insights.
• Review publications and translate concepts for government customers, applying to defense and commercial applications.
• Write technical documentation for code, capabilities and user guides.

Skills

Python

PyTorch

OpenCV

NumPy

Polars

Supervised Learning

Unsupervised Learning

TensorFlow

Keras

YOLO/Transformer CV models

Education

B.S. in machine learning / computer science / mathematics

MS or PhD in ML / CS / CV (desired)

Tools

AWS (EC2, S3, Lambda)

Linux

Docker

Kubernetes

Git

Job description

CACI is seeking a Senior Computer Vision AI/ML Engineer to advance ATR/EO/SAR analytics and deploy CV models in cloud environments. You will lead research and development of AI/ML-based computer vision systems for remote sensing, mentoring junior engineers on a cross-functional team.

The role requires TS/SCI clearance, 5+ years in CV/ML, strong Python expertise (PyTorch, OpenCV, NumPy) and experience deploying models with AWS, Linux, and containerization. On-site with potential travel.