Computer Vision Engineer
2 weeks ago
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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