1. 2 years experience in image processing, computer vision field required.
2. Should have experience in working with projects based on deep learning based image classification(DCNN), object detection(RCNN, F-RCNN, SSD, Yolo etc.), Semantic segmentation, instance segmentation algorithms(M-RCNN, DeepMask), And OCR(Tesseract).
3. Familiar with model optimization SDK like TensorRT
4. Should have good understanding of python programming.
5. Knowledge in libraries like opencv, Scikit learn, numpy, PIL, Matplotlib and frameworks like tensorflow, pytorch is must.
6. Should have experience in developing and deploying machine learning models on AWS or GCP. And familiar with using version control system like git.
7. Knowledge in using tools like Jira, confluence is a plus.
8. Must have experience in developing computer vision products(atleast two) using custom datasets, something beyond MNIST, CIFAR10 etc. : )
9. Ability to think out of the box and passion in learning computer vision and machine learning is expected. Must be a team player : )
Responsibilities:
Based on project requirements.
1. Data analysis, Preprocessing, Verification
2. Algorithm selection
3. Model training, evaluation and fine tuning
4. Model optimization.
5. Model deployement and maintenance.
Skills:
Ai, controller , embedded system, electronics, mechanical, electrical
Should have experience in working with projects based on deep learning based image classification(DCNN), object detection(RCNN, F-RCNN, SSD, Yolo etc.), Semantic segmentation, instance segmentation algorithms(M-RCNN, DeepMask), And OCR(Tesseract).