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As a Computer Vision Data Scientist at Crimson Phoenix, you will be at the forefront of developing and optimizing advanced algorithms for our data labeling platform, which is focused on automating the annotation of complex visual data. This role involves working closely with a team of engineers and analysts to ensure that machine learning models are effectively trained for various real-world applications, including combat casualty care and geospatial intelligence. You will be responsible for designing and implementing Computer Vision models that facilitate automated data labeling and annotation, which is crucial for enhancing the efficiency and accuracy of our systems. Your work will include developing algorithms for image classification, segmentation, and object detection, which are essential components of our data processing capabilities. You will collaborate with data engineers to improve data quality, enhance labeling efficiency, and increase model accuracy. Additionally, you will apply AI and machine learning techniques to large-scale datasets, aiming to improve overall system performance. Collaboration with product and engineering teams will be key to refining labeling workflows and ensuring that our solutions meet the needs of our clients. This position requires a strong foundation in computer vision and machine learning, as well as the ability to work in a fast-paced environment that supports a diverse range of projects and roles. You will be part of a small, growth-oriented team that values innovation and excellence, and you will have the opportunity to contribute significantly to our mission.
