Note: The job is a remote job and is open to candidates in USA. Triune Infomatics Inc is seeking a Computer Vision/AI Engineer to enhance an existing guardrail-defect-detection proof of concept into a production-ready model. The primary focus of this role is to reduce the model's false-positive rate and improve defect classification and condition ranking.
Responsibilities
- Take an existing guardrail-defect-detection POC to production quality
- First priority is cutting the model's false-positive rate (currently 83% on reviewed detections); then extend defect classification and condition ranking
Skills
- 4+ years hands-on computer vision / object detection in production (not research-only)
- Strong Python, PyTorch or TensorFlow, OpenCV
- Object detection frameworks (YOLO, Detectron2, or similar) incl. fine-tuning on custom data
- Video processing experience (frame extraction, motion blur, variable lighting/weather)
- Model evaluation / error analysis — precision-recall tuning, false-positive reduction
- Comfortable working inside an existing codebase, not greenfield
- AWS ML tooling (SageMaker, S3, Lambda)
- Infrastructure/civil-inspection CV experience
- GPS/GIS data handling or RTK GNSS/LiDAR exposure
- Public sector client experience
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