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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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Experience engineering and implementing platforms and services in a software-defined network environmentExperience with DoD IT security requirements including DISA STIG/SRGs. Understanding of Department of Defense standards and best practicesVendor certifications, VMware, Cisco, Microsoft, NetApp, etc.
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As a machine learning engineer on our national security team, you'll train, test, deploy, and maintain models that learn from data. As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets.
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Our spacecraft technologies help our civilian space and national security space sponsors reason about multiple new technologies including space-based networking, machine learning, cyber security, and image recognition.
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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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Have an Associate’s degree, certification, or other education in electronics/engineering Can interpret electronic schematics and printed circuit board layout Have experience with programming or scripting languages (e.g., Python) for test automation Have experience with data acquisition systems and software Have experience with working in a research or laboratory environment Hold an active Top Secret Level security clearance.
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Required Skills Education: Degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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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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Our Client focuses on Software Engineering in the Cloud and Cyber Security domains. Our client's specialties include implementing real-time solutions and analytics through the use of interactive applications and the integration of industry-standard software stacks for both enterprise data intelligence and cyber security protection against network threats and exploits.
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Analysis and Simulation: Perform mechanical analysis and simulation using engineering software (e.g., ANSYS, SolidWorks, COMSOL) to assess system performance, reliability, and efficiency.
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Have 5+ years of experience engineering computer networking software and/or networked software applications. Have an understanding of the technical details of modern networking and transport protocols (e.g., IPv4, IPv6, UDP, TCP, QUIC), network management protocols (NETCONF, RESTCONF), and security protocols (IPSec, TLS.
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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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Have experience in a missile system engineering discipline such as missile modeling and simulation, aerodynamics, flight dynamics, missile guidance, navigation, and control, propulsion or missile test and evaluation.
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GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization.
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Parsons projects may use Autodesk, Hexagon, and other engineering applications, the engineer is expected to utilize software as required by assignment. ·Proficiency in utilizing CAD and other PC software packages typically associated with engineering is required.
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network security machine learning software engineering jobs Title: engineer Company: Llc in Columbia, MD
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