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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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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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In this position, you will provide general systems engineering support including research, collaboration, authoring and maintaining a Memorandum of Agreement (MOA) Annex A - High Assurance Encryption Device (HAED) Development Environment Security Requirements.
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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Database design/operations/maintenance, reverse engineering, data normalization and cleansing, scripting, data analysis and visualization, data security.
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Relevant technologies include reverse engineering, software development, cyberspace operations, networking, vulnerability research, and machine learning. Our team specializes in developing next-generation cyberspace technologies by combining a fundamental understanding of complex electronic systems and networks, with a deep expertise in software systems, optimization, and machine learning.
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Our highly agile team provides support across sponsors using knowledge and skills such as cybersecurity engineering, applied research and development, reverse engineering, software engineering, systems engineering and integration, offensive and defensive cyber operations, advanced cyber threats, adversary methodologies, cyber threat intelligence analysis, and technology analysis and assessments.
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We apply artificial intelligence (AI), reasoning, machine learning (ML) operations, data science, systems engineering, and more to solve urgent tactical problems. Work within a team environment and apply your skills to projects and tasks in areas such as Machine Perception, Intelligent Systems, Reasoning for Autonomy, Software Engineering, ML Operations, and Data Science.
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This premier program encompasses traditional software services including Systems Design and Engineering, Database Administration, Data Science and Knowledge Management, Enterprise Risk Management, Integration and Test, as well as Operations and Systems Support.
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Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (e.g. Python), statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering.
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Bachelor’s degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university is required.
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System design and software implementation of proof-of-concept prototypes incorporating a variety of engineering disciplines: control theory, software development, signal/video processing, pattern recognition, machine learning, artificial intelligence, high performance computing, applied mathematics, network/web services, and visualization.
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Build a full stack application in collaboration with machine learning and artificial intelligence engineers doing novel computer vision model development. We embed small engineering teams with analysts to rapidly identify and solve mission capability gaps playing a critical role in defending our nation’s cyber infrastructure & providing expertise in malware analysis, attribution, mapping adversarial infrastructure, pen testing, and operational planning.
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The Safe and Secure Virtual Environment (SSVE) is partnering with the Artificial Intelligence (AI) and Machine Learning (ML) Mission and Technical Organizations to deliver a safe and secure environment with appropriate software and securities to serve the AI/ML mission workflow.
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