Job description

Duration: 12 months Contract Job Description: • We are seeking a motivated Software Developer with a focus on imaging technology to join our team supporting a seven-acre greenhouse operation. This role is critical to advancing our production capabilities through image-based analysis and automation system integration. • In this position, you will design and implement image analysis solutions at multiple stages of the production process. You will work at the intersection of computer vision and industrial automation, extracting actionable insights from image data and integrating those outputs into real-time control systems. • The ideal candidate has hands-on experience with both traditional computer vision techniques and modern machine learning approaches, and can build robust pipelines that move data efficiently across enterprise networks. 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 (e.g., 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 Experience : • 4+ years of professional software development experience • Strong Python development skills, particularly for image processing and analysis • Experience with computer vision and machine learning frameworks (e.g., OpenCV, YOLO, TensorFlow, PyTorch) • Experience with Docker or other containerization technologies • Frontend development experience using modern JavaScript frameworks (Vue, React) • Linux environment experience • Experience interfacing with I/O devices for automation or machine control • Familiarity with Git and CI/CD pipelines Skills Set: • Experience working in a prototyping or R&D environment • Exposure to industrial automation systems or equipment • Hands-on experience with deep learning/CNN-based image models • Networking and firewall configuration experience Education: • BS or higher in Software Engineering, Computer Science, or a related field (ABET-accredited preferred) Additional Qualifications: Licenses: Not required Certifications: Not required Shift Hours: 8:00AM -5:00 PM EST About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring. #LI-AS140

Requirements

Must-haves

Duration: 12 months Contract
The ideal candidate has hands-on experience with both traditional computer vision techniques and modern machine learning approaches, and can build robust pipelines that move data efficiently across enterprise networks.
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 (e.g., 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
4+ years of professional software development experience
Strong Python development skills, particularly for image processing and analysis
Experience with computer vision and machine learning frameworks (e.g., OpenCV, YOLO, TensorFlow, PyTorch)
Experience with Docker or other containerization technologies
Frontend development experience using modern JavaScript frameworks (Vue, React)
Linux environment experience
Experience interfacing with I/O devices for automation or machine control
Familiarity with Git and CI/CD pipelines
Experience working in a prototyping or R&D environment
Exposure to industrial automation systems or equipment
Hands-on experience with deep learning/CNN-based image models
Networking and firewall configuration experience
Licenses: Not required
Certifications: Not required
Shift Hours: 8:00AM -5:00 PM EST

Nice-to-haves

BS or higher in Software Engineering, Computer Science, or a related field (ABET-accredited preferred)

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Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythondockerjavascriptvuereactci/cdai

Platform: jobdiva
Effort: medium

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