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They will support programs and pursuits in line with DSS's technology areas: precision weapons solutions, radar and fire control systems and modeling, multi-intelligence analytic and engineering support, space systems, active and passive surveillance software and hardware, intelligence community activities, counter-UAS, position, navigation, and timing (PNT), machine learning/artificial intelligence (ML/AI) and multi-domain solutions.
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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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As a Data Scientist Senior Manager on the Apollo team, you and your team will be responsible for building both batch and real-time machine learning pipelines to resolve billions of businesses, individuals and transaction records and extract valuable insights.
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As a Quantitative Analyst 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 cloud 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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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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As part of our finance team, you’ll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.
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We are looking for a highly motivated technical leader with previous digital transformation experience delivering, managing, and selling innovative technical solutions in Application/Software Development, SaaS/PaaS Implementation, DevSecOps, Artificial Intelligence/Machine Learning (AI/Client), Robotic Process Automation (RPA), Cybersecurity and Privacy.
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AWS is developing highly technical learning solutions using machine learning (ML) models and leading Generative AI (GenAI) solutions that get customers deep into AWS technologies.
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Knowledge of artificial intelligence, machine learning, and data science concepts, methodology and techniques. If you receive a job offer via email only and have not been interviewed by the KGS hiring manager, feel free to contact to verify its validity Tuknik Government Services, a Koniag Government Services company, is seeking an Sr. Human Capital Analyst (Governance Working Group Manager) with a Current/Active Secret Clearance to support TGS and our government customer in Falls Church, VA. This is a Hybrid opportunity.
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The team is comprised of the best-in-class technology partners to leverage forward-leaning technologies and best practices to transform GSA's IT capabilities and shift offerings to provide a more flexible service delivery model, completing the agency's shift to a fully digital experience along with its adoption of advanced, emerging technologies such as intelligent automation, artificial intelligence, and machine learning.
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Applied knowledge of Data Science/Machine learning techniques alligned to Business strategy and go to Market Initiatives. Partners on more advanced automated solutions, workflows, readiness, and/or process improvements (e.g., bots, Machine Learning, diagnostic tools) for delivery teams and/or customers for the full product life-cycle including future launches.
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Experience selling technically complex programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning. Create a robust pipeline of highly engaging leads and prospects by leveraging our presentations, tutorials, videos, and guides that assist developers in building, training, and deploying machine learning models.
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PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics At least 1 year of experience working with AWS At least 1 year of experience managing people At least 5 years’ experience in Python, Scala, or R for large scale data analysis At least 5 years’ experience with machine learning.
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We help our clients implement and effectively use Oracle offerings to solve their business problems and fuel success in the areas of finance, operations, human capital, customer, and governance, risk and compliance.
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Machine Learning and Data Science. Our organization rapidly innovates to drive faster, more profitable decisions through AI, machine learning, and natural language technologies.
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customer machine learning jobs Title: manager in Falls Church, VA
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