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Description:
Develop and implement advanced computer vision algorithms for solving visual perception tasks.
Train and evaluate computer vision models using large-scale datasets to optimize performance and accuracy.
Deploy computer vision models into production environments with seamless integration.
Optimize model performance using techniques like parallel processing and GPU acceleration.
Collect, preprocess, and annotate image and video data for training models.
Engineer visual features from raw data to enhance model performance.
Collaborate with cross-functional teams to deliver end-to-end computer vision solutions.
Stay updated on the latest advancements in computer vision research and technology.
Requirements:
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
5+ years of experience in computer vision engineering with a track record of deploying solutions.
Proficiency in Python, C++, or MATLAB, and expertise in OpenCV, TensorFlow, or PyTorch.
Strong understanding of computer vision algorithms and techniques.
Experience with deep learning architectures like CNNs and RNNs.
Familiarity with image and video processing techniques.
Excellent problem-solving skills and analytical thinking.
Exceptional communication and collaboration skills.
Benefits:
Competitive salary ranging from $170,000 to $250,000 per year.
Comprehensive health, dental, and vision insurance plans.