Defense ML & Computer Vision Scientist — On-Site (Linux)

Amatriot Group, LLC; Crane (IN); On-site; USD 80,000 - 95,000; Full time

Job summary

Amatriot is seeking a Data Scientist to support the Navy's CLIPS program, enabling collection and analysis of live imagery for standardization. You will apply Linux-based tools, computer vision, and AI techniques to process motion imagery from USV platforms and related customers.

Responsibilities include developing metadata schemas, deploying AI/ML workflows in Linux, creating data pipelines, and providing on-site support at NSWC Crane with travel as needed.

Qualifications

• Experience with AI/ML for image processing.
• Advanced Linux and CV architectures knowledge.
• Familiarity with government EO communities and EO ops.
• Ability to travel and work on-site at NSWC Crane.

Responsibilities

• Provide annotated and labeled video from Naval Imagery Collection Services (NICS) collections with scene descriptors and AI/CV labeling.
• Develop and deploy AI/ML and CV workflow tools within Linux environments for military motion imagery analysis.
• Define metadata requirements and schemas for labeling of motion imagery and live video streams.
• Develop metadata tools, automated scripts, and models to support imagery labeling and video processing pipelines.
• Develop data models and tooling to support growth of NICS toolsets; provide documentation and processes.
• Identify, troubleshoot, and upgrade NICS hardware and Linux-based software to meet evolving requirements.

Skills

AI/ML for imagery

Linux expertise

CV architectures

Camera processing

Software dev teamwork

C++/Python

EO procedures knowledge

US EO community knowledge

Networking

Hardware experience

Tools

Linux systems

Database design

NICS hardware

Job description

Amatriot is seeking a Data Scientist to support the Navy's CLIPS program, enabling collection and analysis of live imagery for standardization. You will apply Linux-based tools, computer vision, and AI techniques to process motion imagery from USV platforms and related customers.

Responsibilities include developing metadata schemas, deploying AI/ML workflows in Linux, creating data pipelines, and providing on-site support at NSWC Crane with travel as needed.