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Description:
Develop and optimize computer vision algorithms for various applications like object detection, image classification, segmentation, and tracking.
Train and evaluate computer vision models using large datasets to achieve state-of-the-art results.
Architect scalable computer vision pipelines for deployment in production environments.
Create data pipelines to preprocess and augment image and video data for training and evaluation.
Optimize computer vision models for speed, efficiency, and scalability.
Collaborate with cross-functional teams to deliver solutions that meet business objectives.
Prepare documentation and technical reports to communicate model designs and performance metrics.
Requirements:
Bachelor's degree or higher in Computer Science, Electrical Engineering, or related field.
Hands-on experience in developing and deploying computer vision algorithms in production environments.
Proficiency in Python, TensorFlow, PyTorch, or OpenCV for data manipulation and analysis.
Knowledge of computer vision concepts like CNNs, feature extraction, and image processing.
Experience with deep learning frameworks, GPU utilization, and model training.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration abilities.
Benefits:
Competitive salary ranging from $150,000 to $230,000 per year, with potential for higher compensation.
Health, dental, and vision insurance plans.
Flexible work hours and remote work options.
Generous vacation and paid time off.
Professional development opportunities.
Access to cutting-edge technology tools.
Inclusive company culture with team-building activities.
Opportunities for career growth and advancement.
Exciting projects with real-world impact.
Collaboration with top talent and industry experts.