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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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We use the latest technology in our work, including artificial intelligence, machine learning, data science, high performance computing, digital signal processing, and advanced hardware and software development.
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Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Required Qualifications Active TS/SCI Clearance #qinetiqclearedjobProficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.3+ years of relevant experiencewith a bachelor’s degree.
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Quantum Research International, Inc. (Quantum ) is a certified DoD Contractor providing services and products to US/Allied governments and industry in the following main areas: (1) Cybersecurity, High Performance Computing Systems, Cloud Services and Systems; (2) Space and Ground Support Systems; (3) Aviation Systems; (4) Missile Systems; (5) Artificial Intelligence/ Machine Learning Systems and Experimentation/Training; and (6) Audio Visual Systems and Services.
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WHAT YOU NEED TO BE SUCCESSFUL To excel as a Mid-Level Systems Engineer at Mission Intelligence Group, candidates must possess a strong foundation in requirements engineering, solutions engineering, reliability, and systems integration.
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8+ years of experience with conducting Open Source Intelligence Analysis. Knowledge of Intelligence Community (IC) and DoD classification guidelines and procedures. Maintain situational awareness of diplomatic, military, social, economic, intelligence, infrastructure, scientific, and technical developments within assigned area/team in order to produce effective, time-sensitive analysis and targeting.
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Machine learning and Artificial Intelligence with RADAR and RF processing for Space Situational Awareness (SSA) applications. Demonstrated experience of photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields.
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Knowledge of various business and workflow hyperautomation methodologies, technologies, tools, and/or platforms to support Artificial Intelligence (AI), machine learning (ML), event driven software architecture, robotic process automation (RPA), business process management (BPM), intelligent BPM suites (iBPMS), integration platform as a service (iPaaS), low-code/no code tools, packaged software, and other types of decision, process and task automation tools.
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Proficiency in digital cartography, image processing, computer technology, geographical information systems (GIS), geospatial production techniques, remote sensing, and photogrammetry. Proficiency with most of the following: ArcGIS, ArcSDE, ArcView, ArcIMS, ArcTools, the Integrated Exploitation Capability (IEC) system, SocetSet, TerraExplorer/Builder, RemoteView, ERDAS IMAGINE, MRSID, VB/VBA (or some other object-oriented programming/scripting language), Oracle and other appropriate software to analyze geospatial data.
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Experience with JMeterand, Jenkins, Docker, Postman, Swagger, Nexus, Apigee or GitHub/GitLab (or equivalent software packages), Java, Bash, Curl, XML, JSON, SQL, Python, Javascript, and AWS and C2S.
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The Advanced Analytics and Cloud program supports government customers within the Department of Defense (DoD) on various projects to develop solutions incorporating technologies such as machine learning, artificial intelligence (ML/AI), robotic process automation (RPA), and cloud infrastructure.
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Support systems supporting SIGINT, FISINT, GEOINT, HUMINT, CI, TECHINT, OSINT, and All Source Intelligence for tasking, collection, processing, exploitation, production and dissemination at all echelons from tactical to national in multi-domain environments.
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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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We use a wide range of capabilities in Digital Modernization , Mission Software Systems , and enabling technologies including Artificial Intelligence and Machine Learning to support our customers’ mission in advancing biomedical research and protecting public health.
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As a Cloud Engineer you will contribute to the capability and provide SME-level input on technologies such as: Docker, Kubernetes, PowerShell DSC, Ansible, Azure Automation, or other related products in support of the software development life cycle (SDLC.
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machine learning software engineer image processing artificial intelligence jobs Title: solutions architect in Lorton, VA
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