Senior AI Engineer - Computer Vision for Manufacturing

Stott and May United State
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Build and deploy computer vision models for defect detection in manufacturing environments. Work with image and video data to improve model accuracy and performance. Partner with engineering teams to integrate models into live workflows.

Key Highlights
Build and train computer vision models
Deploy models into real-time systems
Improve model accuracy and performance
Key Responsibilities
Build and train computer vision models for defect detection
Deploy models into real-time systems
Improve model accuracy and performance
Partner with engineering teams to integrate models into live workflows
Technical Skills Required
Python PyTorch TensorFlow OpenCV YOLO GPU environments
Benefits & Perks
$100-$130/hr
Fully remote
40 hrs/week
12-month contract

Job Description


Senior AI Engineer – Computer Vision (Manufacturing)


This is a contract!


Work:

We’re hiring a hands-on AI Engineer to build and deploy computer vision models for a manufacturing client.

The focus is on detecting defects on production lines (scratches, cracks, misalignment, etc.) using image/video data and getting those models into real production environments.

This is a practical, impact-driven role — not research.


What You’ll Be Doing:

  • Build and train computer vision models for defect detection
  • Work with image and video data from production environments
  • Deploy models into real-time or near real-time systems
  • Improve model accuracy and performance over time
  • Partner with engineering teams to integrate models into live workflows

What They’re Looking For:

  • Strong experience in computer vision / object detection
  • Python + PyTorch or TensorFlow
  • Experience deploying ML models into production
  • Experience working with real-world image data
  • Exposure to YOLO or similar object detection frameworks
  • Experience with OpenCV
  • Familiarity with GPU environments or edge deployment
  • Any manufacturing or industrial experience

Details:

  • Fully remote (US-based)
  • 40 hrs/week
  • 12-month contract (possible extension)
  • $100–$130/hr (W2 or LLC only)
  • No C2C


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