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Previous work experience in a classified environment as an Imagery Analyst or GEOINT/Geo-spatial Analyst. Experienced analyst with an Imagery Analyst, Geo-spatial analyst, GIS or all-source background; in addition to producing intelligence for customers, and providing training for small groups of users with diverse work roles.
$75,570 - $128,480 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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SGI Global LLC is seeking Target Materials Analysts to produce imagery and/or geospatial based target materials for the CENTCOM AOR. He/she will conduct Target Coordinate Mensuration (TCM) using direct, registration, multiple image geopositioning (MIG) and resection techniques on a variety of target types.
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Expertise in photogrammetry, remote sensing, image processing, or regional expertise is also desirable. Publish NES remarks, baseline descriptions, and other imagery exploitation reporting in accordance with the NSG Directive 2-1 Exploitation and Reporting Structure (EARS-2) reporting guidance and/or SOM-associated data as necessitated by the assigned office's requirements.
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This position will be responsible for delivering the highest quality retouching, compositing, image prepping, proofing, quality control, color correcting and color matching for print (CMYK) and digital (RGB) imagery.
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Exploiting and analyzing a variety of image sensor types including SAR, EO, LiDAR, MSI, HSI and IR to produce a variety of products to customer standards. Responsibilities include, but are not limited to referencing source materials, updating and/or creating new vector data or geospatial database entries, producing finished imagery products such as maps, and charts, successfully submitting work through the QA/QC process, and meeting deadlines.
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Include the extraction of Feature Data using NTM; Mapping, Charting & Geodesy (MC&G) Stereo Imagery; Digital Point Positioning Database (DPPDB) or Ortho-rectified Mono Equivalent [Precise Terrain and Ortho Product (PTOP); Mr. Sid Ortho-rectified Geotiffs (MSOG); Precise Ortho-rectified Image Datasets (POID); and Controlled Image Base (CIB.
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This is an R&D support role, designed to propel image-based research forward by applying cutting edge machine learning and computer vision technology to biomedical imagery. Work closely with software engineers and data scientists to organize, manage and maintain imagery data and image analysis software repositories.
$86,320 - $154,960 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Shall participate in applying remote sensing and geospatial technologies to address natural resource applications including change detection, monitoring, extraction and classification of information from imagery using supervised/unsupervised image classification, and feature extraction technologies.
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You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
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SciTec has an immediate opportunity for a talented Algorithm Technical Lead to support programs focusing on Image and Digital Signal Processing, State Estimation, and Classification for exploitation of data from remote sensing systems (ground-based, airborne and space-based.
$130,000 - $201,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge and experience with digital cartography, image processing, computer technology, geographical information systems (GIS), geospatial production techniques, remote sensing, and photogrammetry.
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Leads the application of remote sensing/geospatial technologies to address natural resource applications including change detection, monitoring, extraction and classification of information from imagery using supervised/unsupervised image classification, data mining and feature extraction technologies, accuracy assessment procedures, and identifying and applying novel approaches to geospatial analysis and modeling.
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Demonstrated professional or academic experience using Python to queryy and retrieve imagery from S3 compliant API's perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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Hands on experience working with large imagery datasets including image normalization, image augmentation, raster/vector visualization, etc. The ideal candidate has geospatial software engineering, computer vision model deployment, operations, and testing experience; familiarity with satellite imagery or similar datasets; and success working in an agile development environment.
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