Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies
Job Summary
Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies.
Create efficient and real-time convolutional neural network (CNN) models.
Lead and manage a multidisciplinary team, ensuring effective collaboration and clear communication of technical concepts to management and team members.
Matching Summary
Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies.
Skills & Requirements
Must-have
computer vision algorithms
deep learning methodologies
real-time CNN models
TensorFlow, PyTorch, OpenCV
Python and C++
2D/3D sensor algorithms
Nice-to-have
model quantization, pruning, knowledge distillation
TensorRT, Deepstream, OpenVino, TRITON
sensor interfaces and calibration
Kalman filters, particle filters, clustering
Key Requirements
Minimum 4 years of experience
Solid foundation in image processing, neural networks, CNNs, vision transformer architectures