A professional specialized in designing and developing algorithms and systems that enable computers to interpret and understand visual data from the world, such as images or videos. Working on applying techniques from machine learning, artificial intelligence, and image processing to solve problems like object recognition, image classification, facial recognition, motion tracking, and scene understanding.

Proficient in programming languages like Python, C++, or Java, computer vision engineers use frameworks such as OpenCV, TensorFlow, and PyTorch to build models that can analyze and interpret visual information. Their work is applied across industries such as healthcare (e.g., medical imaging), automotive (e.g., self-driving cars), entertainment (e.g., augmented reality), and security (e.g., surveillance systems). These engineers focus on improving the accuracy and efficiency of computer vision systems, ensuring they can work in real-time and with varying image conditions.