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In addition to proficiency with image processing libraries like scikit-image and OpenCV. Proficiency in programming languages such as R, Python, and SQL, with experience in data analysis and machine learning tools like PyTorch, Pandas, scikit-learn, Tensorflow, or similar.
$115,830 - $129,279 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Background/experience in one of the following areas: signal processing, image/video processing, machine learning, computer vision, computational hardware, RF hardware, software development, "big data" processing, scientific computing skills (MATLAB, python.
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Machine Learning Integration: Utilize machine learning techniques to augment the efficiency and capabilities of our quantum computing applications, ensuring they meet the complex demands of real-world scenarios.
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We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc.
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Programming: Proficient in Python or other high-level programming languages, with experience in geospatial and machine learning libraries (e.g., OpenCV, TensorFlow, PyTorch). Geospatial and machine learning libraries (TensorFlow, PyTorch (1 of these required), OpenCV.
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Advance Natural Language Processing (NLP), Computer Vision (CV), and deep learning to construct sophisticated dynamic models for student learning and assessment. Experience using cloud computing for machine learning and deep-learning frameworks such as TensorFlow, PyTorch, and Keras.
$155,000 - $157,500 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Image processing and Digital Signal processing experience. Knowledge of NSG tasking, collection, processing, exploitation and dissemination (TCPED) image chain. Experience with various exploitation software such as ARC-GIS, SOCET GXP, QT Modeler, Active Earthscape, ERDAS Imagine, or Remote View.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling. Incumbent must be eligible for DoD Personal Security Clearance. Must be eligible for DoD Personal Security Clearance.
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Support software development in the following domains: computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), and computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.
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AWS Certified in Data Analytics, Machine Learning, or Solutions Architect Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required.
$110,100 - $250,000 a yearPart-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision, machine learning, or image processing. Collaborate with cross-functional teams including software engineers, machine learning experts, and product managers to integrate computer vision technology into products and services.
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Architect and design sub-systems for sensor and image processing platforms under the guidance of a Senior or Principal FPGA Engineer. Prior work in the field of image processing.
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Role and Responsibilities Summary CAE USA is seeking a software engineer to build and deploy cutting edge cloud-based software products for internal Research and Development and/or Department of Defense contracts.
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We work as a team: We are a collaborative company comprised of highly-educated industry leaders in radar systems, image and signal processing, machine learning, hardware development, and software engineering.
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