Position:- Computer Vision Engineer ,

Location:- Warren, MI ,

Duration:- Full Time Position,

Job Description:

Experiences classical image processing techniques for NDT (e.g., filtering, edge detection, thresholding)used in conjunction with ML
Experience with point cloud processing and 3D geometry analysis.
Understanding of industry standards and regulations (e.g., NADCAP, AS9100, ISO 9001) related to quality control and NDT processes.
Familiarity with robotics, PLCs, and industrial automation systems (e.g., Siemens, Fanuc).
AI Model Development: Design, train, and optimize deep learning models (e.g., 3D CNNs, Vision Transformers, U-Nets) for flaw detection, segmentation, and classification in 3D volumetric CT data and 2D X-ray images.
Algorithm Validation: Develop rigorous validation frameworks to measure model performance against expert NDT technician analysis. Ensure algorithms meet strict industry standards for precision and recall, particularly for critical defects.
Data Pipeline Architecture: Build robust data pipelines for ingesting, preprocessing, and augmenting large-scale volumetric CT data. Handle challenges like noise reduction, normalization, and material attenuation artifacts.
System Integration & Deployment: Work closely with automation and robotics engineers to integrate models into real-time production line inspection systems. Optimize models for high-speed inference and edge deployment.
Cross-Functional Collaboration: Partner with NDT Level II/III technicians to understand defectology and define accurate labelling protocols.
Work with mechanical and materials engineers to incorporate domain knowledge (e.g., material properties, expected stress points) into model design.
Continuous Improvement: Monitor model performance in production and implement active learning and data drift detection strategies to continuously improve system accuracy.

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