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Relevant certifications such as Zscaler Certified Cloud Professional (ZCCP), Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), PCNSE (Palo Alto Networks Certified Network Security Engineer) or similar certifications are highly desirable.
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Implement RMF to support Authorization and Accreditation (A&A) of next-generation autonomous, artificial intelligence, and machine learning systems. ARS is seeking a part-time mid-level Cyber Security Engineer located at Wright-Patterson Air Force Base, OH, supporting the Air Force Research Laboratory (AFRL.
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Experience delivering AI/ML solutions for DHS, DoD, and or the Intel CommunityAdvanced degree (Master's or PhD) in Computer Science, Electrical/Computer Engineering, or similar fieldCertifications:Certified Artificial Intelligence Engineer (CAIE) certificationAWS Certified Machine Learning - SpecialtyGoogle Machine Learning Engineer CertificationTensorFlow Developer Certificate ProgramCertified Artificial Intelligence Scientist (CAIS.
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You will apply familiarity with the utilization, configuration, and implementation of cyber defense capabilities, including web content filters, email security capabilities, Int rus ion Detection Systems, Int rus ion Prevention Systems, Host-Based Security Systems, Security Incident and Event Management tools, Domain Name System security practices, advanced log analysis, network monitoring, network flow analysis, packet capture analysis, network proxies, firewalls, anti-vi rus.
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As a Cloud DevOps & Infrastructure Engineer, you will enhance and maintain the cloud and on-premise infrastructure behind the MeTRA platform, including identity and access management, network architecture, application security, logging, monitoring, billing and more.
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Strong technical expertise required in one or more of the following areas: Firewalls, Network Intrusion Detection and Prevention Systems, Routers and Switches, MDM, EDR, SIEM, AI, Machine Learning, Packet decoding and analysis, Web Proxy Servers, Load Balancing, SSL VPN Solutions, Web application firewalls and data loss prevention technologies.
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Machine Learning Engineer – Data Science. As a machine learning serving engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Our team is now developing the next generation of security screening solutions for airports worldwide - solutions that will incorporate the latest advances in machine and deep learning, 3D imaging and open network architectures.
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SAIC's National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, SecDevOps, cloud network operations, and secure communications.
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CINO’s focus is on information dominance and research topics include modeling and simulation, artificial intelligence, machine learning, and DevSecOps. Our mission is to “provide the cutting edge technology development, analysis, tools, and other capabilities that effectuate many capabilities including DevSecOps automation, C5ISR-T capability.
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Experience in data visualizations, machine learning, batch/streaming analytics, program data flow, reverse engineering, vulnerability research, emulation, symbolic execution, network security, block-chain applications, bot detection, natural language processing, or other related area.
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Tools of the trade: cloud security posture management (CSPM), vulnerability management, security event monitoring (SIEM), API security, network observability, incident management, and others.
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Development will include innovative technologies in the fields of Distributed Applications, Zero Trust Security, Machine Learning, Clustering algorithms and methods, and Data Processing.
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Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) 3+ working experience in one of the following fields: machine learning, NLP(Natural Language Processing), multimodal, and computer vision.
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5+ years of experience based on education (preferred: 2+ industrial controls systems (ICS) and related networks, with a firm understanding of communications between machine devices, networks, & data platforms; 2+ years of experience with networking & network security; 2+ years of experience with machine controls including PLCs, robotics, & motion controls.
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network security machine learning jobs Title: engineer
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