- Design, develop, and implement computer vision algorithms and systems for various applications such as object detection, recognition, tracking, and image segmentation.
- Conduct research to stay abreast of the latest advancements in computer vision and machine learning, and apply findings to enhance existing systems.
- Collaborate with software engineers to integrate computer vision algorithms into production-level software applications.
- Optimize algorithms for performance and scalability, ensuring efficient execution on various hardware platforms.
- Evaluate and test the performance of computer vision systems using real-world data and metrics.
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or related field.
- 5 years experience in related field.
- Solid understanding of computer vision fundamentals, including image processing, feature extraction, and machine learning techniques.
- Proficiency in programming languages commonly used in computer vision development, such as Python, C/C++, and MATLAB.
- Experience with popular computer vision libraries and frameworks, such as OpenCV, TensorFlow, and PyTorch.
- Strong mathematical background, with knowledge of linear algebra, calculus, and probability theory.
Computer Vision Engineer - Florida, United States - MTK Resources
3 weeks ago
Description
Overview:
The Computer Vision Engineer will play a crucial role in developing and implementing state-of-the-art computer vision algorithms and systems. You will work closely with a multidisciplinary team of software engineers and researchers to create groundbreaking solutions that leverage computer vision technologies. From designing robust algorithms to optimizing performance for real-time applications, you will have the opportunity to tackle challenging problems and make a significant impact in the field of computer vision.
Responsibilities:
Qualifications: