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Job Title: Deep Learning Computer Vision Engineer

Key Responsibilities:

Develop and optimize deep learning computer vision models for object detection, image segmentation, and image classification.
Develop and implement data preprocessing and augmentation techniques.
Test and validate the performance of vision algorithms in real-world applications.
Continuously improve the efficiency and effectiveness of computer vision workflows.
Collaborate with product managers to define project requirements and timelines.
Stay updated on the latest advancements in computer vision and AI technologies.

Qualifications:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
Strong mathematical and statistical skills.
Proven experience in developing deep learning computer vision algorithms.
Proficiency in programming languages such as Python, C++, or similar.
Experience with computer vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch).
Experience with object detection, image segmentation, and image classification tasks.
Experience with data preprocessing and augmentation techniques.
Experience with GPU programming and optimization.