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Review project plans, construction Security Plans, architectural drawings, and technical data to determine compliance with relevant Department of State (DoS) and Intelligence Community (IC) standards.
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Recommend improvements to security architectures that increase levels of automation, implement a DevSecOps operating philosophy, and address current and anticipated data and processing needs.
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Data Engineering experience focused on batch and real-time data pipelines development, Data processing/data transformation using ETL tools such as databricks.
$76,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Learn, be inquisitive, and be technically curious, with a passion for emerging technologies (Machine Learning, Natural Language Processing, Robotic Process Automation, API’s, and Artificial Intelligence), their capabilities, and how they are used to empower business and technology to drive business simplification.
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We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.
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Proficiency in Qlik scripting language (QlikView Scripting, Qlik Sense Data Load Editor). Join our team and contribute to the success of the ADVANA program by leveraging your Qlik expertise to drive data-driven decision-making within the Department of Defense.
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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 technologies (e.g., robotics; kinematics; structural engineering pertaining to complex dynamic systems; machine design; automated manufacturing machines, equipment, and related control systems; mechatronics; application of state-of-the-art machine learning (ML) and artificial intelligence (AI); optical systems, etc.
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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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Description The Leidos has an exciting opening for you, as a Cloud Engineer, to play a critical role with design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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Retrieve of, storage to, and control of data to field programmable gate arrays (FPGAs), dynamic or static memory, graphical processing units (GPUs), digital signal processing (DSP) cards, or other embedded processors.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Provide expertise in the engineering design, development, direction, and implementation of enterprise network cyber defense capabilities.
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Skills: Experience in cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, and sonar systems. If you’re a whiz with cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, or sonar systems, you’re exactly who we need.
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You will wow us even more if you have: AWS cloud certifications Experience with micro services architecture Experience with container deployment platforms such as Kubernetes, Openshift, or GCE Experience and domain knowledge related to data processing Experience with big data applications.
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Analyze enterprise-wide foreign military sales case development and execution data, identify indicator metrics, and make policy, programs, and performance recommendations. This includes experience in areas such as international training, FMS sales, engineering and logistics support, equipment integration and procurement, case development and execution, technology transport and export control, and supporting strategic initiatives.
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In collaboration with the Chief Information Officer, Chief Information Security Officer, Chief Artificial Intelligence Officer, Senior Level professionals in analytics and AI, and other stakeholders, the CDO works to improve Agency processes based on insights derived from available data and effectively communicates the value and importance of data to executives and staff.
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learning natural language processing data engineering jobs Company: Thomson Reuters in Washington, DC
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