Deep learning based industrial visual aoi inspection
Edge ai deployment for manufacturing equipment
Multimodal deep neural network models fine-tuning
The team is building next-generation AI-powered industrial AOI systems focusing on high-precision visual inspection and edge-deployable solutions
Job Summary
The team is building next-generation AI-powered industrial AOI systems focusing on high-precision visual inspection and edge-deployable solutions.
Responsibilities include designing deep neural networks for defect detection, visual alignment, and irregular shape detection using various data modalities.
Engineers will optimize model inference performance for latency and throughput while integrating into real production lines.
Matching Summary
Match Score: 85
The team is building next-generation AI-powered industrial AOI systems focusing on high-precision visual inspection and edge-deployable solutions.
Skills & Requirements
Must-have
Deep learning based industrial visual AOI inspection
Edge AI deployment for manufacturing equipment
Multimodal deep neural network models fine-tuning
Python and PyTorch proficiency
Linux C/C++ programming
Nice-to-have
Industrial cameras and lighting experience
NVIDIA TensorRT and CUDA optimization
ROS 2 or real-time system integration
Industrial communication protocols understanding
Intelligent factory AI agent concepts
Key Requirements
Master's degree in Computer Vision, Machine Learning, or related field
Solid understanding of computer vision and deep learning fundamentals
Practical experience with defect detection and segmentation algorithms