Imaging & Automation Software Engineer - Python/ML

US Tech Solutions; Marana (AZ); On-site; USD 110,000 - 160,000; Full time

Job summary

US Tech Solutions in the United States is seeking a Software Developer focused on imaging to advance greenhouse production through image‑based analysis and automation integration.

The role involves building pipelines with OpenCV/ML models, integrating with automation systems, and deploying robust computer vision solutions across enterprise networks. 4+ years of Python experience and proficiency with Docker, Linux, and modern frameworks are required.

Qualifications

• BS or higher in Software Engineering, Computer Science, or a related field (ABET‑accredited preferred).
• Strong Python development skills for image processing and analysis.
• Experience with computer vision and ML frameworks; Docker and CI/CD knowledge.

Responsibilities

• Develop and deploy image analysis solutions to support greenhouse production workflows.
• Apply classical computer vision and deep learning techniques to extract meaningful data from images.
• Integrate imaging systems with automation and control systems (sensors, actuators, machine interfaces).
• Design and maintain pipelines to transmit image data and derived insights across enterprise networks.
• Collaborate with cross‑functional teams including automation, infrastructure, and operations.

Skills

Python

OpenCV

YOLO

TensorFlow

PyTorch

Docker

Vue.js

React.js

Linux

Git CI/CD

Image processing

Education

BS in Software Engineering / CS

Tools

Docker

OpenCV

YOLO

TensorFlow

PyTorch

Vue.js

React.js

Git

Linux

Job description

US Tech Solutions in the United States is seeking a Software Developer focused on imaging to advance greenhouse production through image‑based analysis and automation integration.

The role involves building pipelines with OpenCV/ML models, integrating with automation systems, and deploying robust computer vision solutions across enterprise networks. 4+ years of Python experience and proficiency with Docker, Linux, and modern frameworks are required.