PHP Front-End & Computer Vision Developer (Onsite Contract) at Creative Technology Innovations
Sayreville, NJ 08872, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Nov, 25

Salary

30.0

Posted On

08 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Css, Html, Bootstrap, Javascript, Opencv

Industry

Information Technology/IT

Description

REQUIREMENTS

  • Strong experience with PHP (Laravel Blade templating)
  • Front-end skills: HTML, CSS, Bootstrap, and JavaScript
  • Familiarity with camera integration, OpenCV, or image processing tools
  • Ability to write clean, modular UI code without back-end involvement
  • Comfortable working with hardware setups (USB cameras, trigger mechanisms)
  • Onsite availability — no remote option

How To Apply:

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Responsibilities

Creative Technology Innovations (CTI) is a leading electronics refurbishing company developing a proprietary ERP system and a machine learning camera application to automate cosmetic grading of devices like MacBooks, Chromebooks, and iPads.

We’re hiring an onsite developer for a 3–4 month contract to:

  • Build the front-end (presentation layer) of our ERP in PHP (Laravel Blade)
  • Develop a camera-based image capture and grading interface to support ML training

You’ll work directly with our operations and diagnostics teams to streamline real-world workflows and ensure fast, accurate data collection.

Key Responsibilities ERP Front-End (Laravel)

  • Build responsive UI components using Laravel Blade templates
  • Connect with existing back-end endpoints (no database or controller work)
  • Create clean, intuitive layouts for logistics, diagnostics, and testing modules
  • ML Grading Camera App
  • Build an interface for capturing images from USB cameras (Arducam 64MP)
  • Allow users to:
  • Trigger image capture (e.g. via button or foot pedal)
  • Associate images with serial numbers or scanned asset tags
  • Review and correct AI-generated grades
  • Export image data + grades for downstream use (CSV/JSON)
  • Work toward an ML-assisted interface using Gemini 2.0 or custom model
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