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Computer Vision Engineer — Quality Inspection

James Okafor

Full-time · Senior

About the role

We build AI-powered quality inspection systems for industrial manufacturing. Currently deployed on 6 production lines across 3 suppliers in Germany and Poland — our models process camera feeds at 30fps and flag defects in under 80ms. Any slower and the line doesn't stop in time. We need a senior CV engineer to own model development for our Q3 expansion: two new lines (injection moulding and PCB assembly) with defect types we haven't handled before. Full ML cycle ownership: dataset creation from our annotated image archive, model training (YOLO-based and custom architectures), inference optimisation for NVIDIA Jetson AGX, and deployment alongside our hardware team. We already have annotation tooling, a CI pipeline for model versioning, and a benchmarking rig on-site. What we're missing is someone who can drive the model side independently. If you've shipped defect detection in production, tell us specifically what you built and what precision/recall numbers you hit.

Requirements

  • – 4+ years building production CV systems
  • – Strong PyTorch experience, ideally with YOLO or similar detection models
  • – Has optimised models for inference speed (ONNX, TensorRT, etc.)
  • – Comfortable with dataset curation and annotation workflows
  • – Industrial or manufacturing domain experience is a big plus

Job Type

Full-time

Level

Senior

Language

English

Salary Range

$110k – $150k / year

AI Expertise

Computer Vision & Deep Learning AI & Machine Learning Engineers

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