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Principal Computer Vision Engineer
1872 ConsultingUnited States
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À propos
Responsibilities: Design and implement computer vision solutions that exploit machine learning, statistical learning, and deep learning for next-generation satellite imagery analytics Plan and conduct research in projects related to computer vision, probabilistic modeling, predictive analytics, and content curation Develop and prototype algorithms, models, and analytical tools for solving domain specific business problems Take part in the entire project lifecycle from requirements development to deployment Collaborate with management and technical team on product strategy Leads team members to accomplish project goals, contribute to technical proposals as needed, and interact with customers to ensure requirements are understood and met Qualifications: 8+ years of hands-on experience as a computer vision engineer, machine learning engineer, or data scientists with at least 2 years focused on computer vision Bachelor's Degree or higher in one of the following fields: computer science, data science, mathematics, physics, statistics, or another computational field Hands on experience working with large imagery data sets including image normalization, image augmentation, raster/vector visualization, etc. Familiarity researching and prototyping unsupervised and semi-supervised deep learning-based algorithms Python 3 proficiency Experience developing deep learning-based software solutions. In particular, developing models in TensorFlow or PyTorch, and Keras Familiarity with open source python computer vision libraries such as Scikit-image, Rasterio, OpenCV, Pillow, Shapely, etc. Strong ability to communicate concepts and analytical results with customers, management, and the technical team, highlighting actionable insights Must be a US Person for this role Desired Skills: 10+ years of hands-on experience as a computer vision engineer, machine learning engineer or data scientist Ph.D./Master's degree in the previously mentioned fields Experience working with remote sensing data, ideally satellite imagery with an understanding of Geospatial software (GDAL, osgeo, etc.) and programming standards Experience developing asynchronous processing algorithms and Cloud-based solutions (especially AWS services like EC2 & S3)
Compétences linguistiques
- English
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