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CenCore Group strives to be the trusted and primary source for insight, analysis, and implementation of physical and digital security solutions associated with the development of artificial intelligence and machine learning in the NatSec space.
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Experience with machine learning and data analysis. We are happy to connect and cover the information needed to assist you in reaching your next career milestone. This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions.
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Must have and aggressive can-do attitude and a willingness to pivot from one role to next dependent on customer requirements. TS/SCI with Polygraph level clearance is required. Exercise strong independent initiative and excellent judgement in efforts to identify opportunities and risks and develop draft positions and suggestions for engagement strategies.
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12+ years of experience in software engineering, with a focus on machine learning or natural language processing. Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services.
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Often and without source code or documentation, performs system analysis, reverse engineering, and static, dynamic, and best-practice malware analytics methodologies and analysis on Windows, Android, or UNIX-based platforms.
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Experience with Python, Java, Artificial Intelligence (AI) and Machine Learning (Client) Utilize current machine learning algorithms for use on low equity sensors for signal identification.
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Ability to work with VSPHERE / VMware Consolidated Backup / Virtual machine backups. Ability to work with VSPHERE / VMware Consolidated Backup / Virtual machine backups. Clearance: Current TS/SCI Full Scope Poly Required JOB DESCRIPTION: Extensive experience in VMware & Windows administration, troubleshooting, upgrades, migration etc.
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