1. Develop and adapt advanced computer vision and state-of-the-art deep
2. learning techniques for object detection/ classification/ tracking, face
3. recognition, scene understanding, and activity recognition applications.
4. Analyze and optimize image understanding performance on diverse
5. multi-sensor data sets
6. Design and architect practical systems for solving challenging image
7. understanding problems
8. Implement computationally complex model training and image
9. understanding applications on high performance embedded computational
10. processing environments
Requirements:
1. Master or PhD in Computer Science, Electrical engineering, related technical field or equivalent practical experience.
2. Programming experience in one or more of the following: Python, C/C++.
3. Programming experience with libraries and toolkits such as CUDA, Matplotlib, Scikit, OpenCV, Tensorflow, PyTorch, YOLOV models
4. Familiar with Linux operating system.
5. Experience in Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).
6. Ability to design and execute on research agenda.
2. Candidate must be available to work from 9:30 am - 7:30 pm Indian Standard Time (as the company is based outside of India & their local work timings are 9:00 am - 7:00 pm Uzbekistan Time)
Salary
Duration:
Salary during probation:
After probation:
Annual CTC: $ 6,000 - 24,000 /year
Perks
5 days a week
Number of openings
2
About Cradle Vision Tech (Tashkent, Uzbekistan)
Cradle Vision Tech LLC is an innovative startup at the forefront of computer vision technology. We focus on developing cutting-edge solutions that leverage the latest advancements in AI and deep learning, including models like ResNet and MobileNet. Our team is dedicated to pushing the boundaries of what's possible, offering engineers the chance to work on challenging and impactful projects in a dynamic and collaborative environment. Join us to innovate, grow, and make a significant impact in the world of computer vision