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Experience with data science, machine learning, and/or artificial intelligence. Experience with cybersecurity data from SIEM, Endpoint, Network, Threat Intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
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Using advanced cyber techniques, our team of technologists and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), includingoffensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science.
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Strong programming skills and proficiency in commonly-used ML languages such as Python, and ML and data science libraries, such as TensorFlow, PyTorch, and OpenCV. Experience in one or more of our core complex systems skills: AI/ML algorithms, data science, deep learning, graph theory, or statistical analysis.
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Have classroom or professional experience developing and/or implementing machine learning algorithms applied to biomedical data, including but not limited to neurophysiological data.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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Equipment utilized may include, but is not limited to monitoring equipment, surgical instruments, cardiac output machine, pulse oximeter, ECG machine, intra-aortic balloon pump, AngioJet, etc.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others.
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The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. If so, we're looking for someone like you to join our team at APL. We are seeking an engineer to help us perform developmental design assessments, performance assessments and data analysis of strategic reentry vehicles.
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Rekor leverages computer vision, machine learning, and big data analytics to drive AI-enabled IoT solutions ('AIoT') on the edge of the network with unparalleled speed, accuracy, and agility.
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You will stay on top of the latest data engineering trends and software for customer-centric digital experience personalization. Job DescriptionAs Data Engineer, you will apply your expertise in data and analytics to power customer experiences and journeys across channels.
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Model Deployment: Collaborate with data scientists and software engineers to deploy machine learning models, ensuring optimal performance, resource utilization, and cost tracking and savings.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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Four years of experience with machine architecture, operating system internals, file system and memory management, and assembly language (x64, ARM, MIPS). Ability to connect to and monitor signals in and out of chips and convert those into binary data, ability to dump firmware images from hardware devices.
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KBR is seeking an experienced Wire and RAM EDM Machinist to support multiple spacecraft missions for KBR’s Science and Space Division. KBR is seeking an experienced Wire and RAM EDM Machinist to support multiple spacecraft missions for KBR’s Science and Space Division.
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