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At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. The IBM Chief Information Officer (CIO) organization is looking for a Network & System Administrator who possesses a TOP SECRET / Sensitive Compartmented Information (TS/SCI) clearance with the US Department of Defense or US Intelligence Community to join us within the Cybersecurity Assurance domain.
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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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1+ year(s) of experience in software development lifecycle, large-scale computing, modeling, cyber security, anomaly detection, Security Operations Center (SOC) detection, threat analytics, security incident and event management (SIEM), information technology (IT), and operations incident response.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Familiarity with The Open Group Architecture Framework (TOGAF), Open Web Application Security Project (OWASP), Open Security Architecture, National Institute of Standards and Technology (NIST) Cloud Computing Reference Architecture, or other architecture frameworks.
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Knowledgeable on one or more cloud computing services and technologies including but not limited to: AWS, Microsoft Azure, VMware, etc. This includes solution planning and engineering, defining security requirements, target architecture, interoperability and integration, system testing, Verification and Validation, Modeling and Simulation, studies and analysis, post-deployment security validation (PDSV), and project risk management.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, EMR, PySpark, Gurobi) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Expertise in cloud computing platforms (e.g. AWS, Azure, Oracle Cloud Infrastructure). Support DevOps and Continuous Delivery Pipeline, along with Evolve System Design with the team and Align Architecture with business priorities.
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Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies. Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies.
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Experience in technical sales or consulting in cloud computing, data analytics, or Big Data. Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, competitive dynamics and customer buying behavior.
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Our CCS environment uses Cisco Unified Computing System (UCS), Genesys, and Aspect systems. SIP, Routing, Voice Portal and Reporting) Cisco Networking Server management ( VMs and Windows OS) Call recording experience Desired Experience,Bachelor's degree in Computer Science, Computer Engineering, or other computer related disciplines.
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Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. required with AWS/Cloud development/computing and OpenCV experience.
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Educational/Experience Requirements:Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required. Familiarity with spatial image processing and analysis, and geospatial information system (GIS) algorithms.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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computing job Title: architecture in Reston, VA
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