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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
$110,000 - $134,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Keywords: Sr Capture Manager, Business development, Program Manager, Leadership, Machine Learning, win, capture, proposals, Virginia IC, Intel Community, Intelligence Community, growth, cyber, developer, development, architecture, framework, Java Developer, Java Development, Software engineer, HPC, high performance computing, software tester, system integration engineer, systems engineer.
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The data scientist will utilize their expertise in machine learning, statistical data analytics, and predictive analytics to help create and implement data solutions and analytics for diverse Department of Defense (DoD) data sets.
$90,000 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4 years experience in pre-sales engineering, with at least two years of focus on machine learning or artificial intelligence products. We are seeking a pre-sales engineer to showcase the value of our Generative AI product to prospective customers.
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The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with modern machine learning development frameworks (e.g. Keras, TensorFlow, PyTorch) Experience modeling waveform and signal processing algorithms (e.g. Matlab) Experience developing signal processing algorithms and software for networking, communications, or electronic warfare applications.
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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Apply coding skills to preprocess data and apply statistical, machine learning and artificial intelligence techniques, including NLP and image processing algorithms. Proficiency in the use of one (or more) of these methodologies with demonstrated and interpretable insight and impact: generative artificial intelligence (Gen AI), deep learning, natural language processing, large language models.
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This role involves preparing and prosecuting patents related to advanced technologies such as image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. As the Databricks Technical Lead , you will play a crucial role in designing, implementing, and optimizing data processing workflows and analytics solutions using the Databricks platform.
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Active secret security clearance required. Security certifications such as ISC2 CCSP, CAP, SSCP, or CompTIA certifications such as: CySA or Security+ preferred. The Policy and Standards Program is responsible for developing, promulgating, and maintaining Department cybersecurity policies and standards; developing and providing guidance on the Overseas Security Policy Board (OSPB) information systems security policy and standards; and providing guidance on existing policies and standards for the Department.
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Solid knowledge of software engineering, machine learning, cybersecurity, and natural language processing; experience in quantum computing and cybersecurity is a plus but not necessary.
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The Transition Personnel Security Specialist supports the clearance processing of the staff during the Transition-In period. The Transition Personnel Security Specialist is a journeyman with experience in conducting background investigations and risk assessments along with other duties associated with organizational personnel security.
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machine learning software engineer image processing security clearance jobs in Washington, DC
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