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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Center 1 (19052), United States of America, McLean, Virginia Current Master's - Data Science Internship - Summer 2025 Key Role Details This is a full-time paid internship program spanning ten weeks from June through August 2025.
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Computer engineering, electrical engineering, information technology, javascript, linux, machine learning, malware, processor. Work with a team of data scientist and machine learning engineers to develop and deploy GenAI applications supporting Walmart finance department.
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Extended Learning and Academic Recovery: The Extended Learning and Academic Recovery team develops extended learning opportunities such as afterschool programs and summer school, overseeing most of DCPS' K-12 summer school programs including enrichment and retention programs.
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Briya teachers draw inspiration from the pedagogical principles of the Reggio Emilia approach, as well as research about best practices for young dual language learners. Use principles of the Reggio Emilia approach in the environment, professional collaboration, and documentation of learning.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
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Understanding of Artificial Intelligence (AI), Large Language Models (LLM), Natural Language Processing (NLP), Azure, AWS, and cloud applications. Champion the use of Artificial Intelligence (AI), Large Language Models (LLM), and Natural Language Processing (NLP) technologies to enhance business processes and customer engagement.
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Contribute to the development of a healthy product backlog, collaborating with the Product Manager, Engineering, and Solution Architects to break down business epics, document user stories (to also include things like addressing technical debt, SRE, etc.
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As a Cloud Engineer, you will play a critical role in the design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP), where we support our client's mission to centralize and standardize Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Css, db2, etl, hadoop, information technology, information technology infrastructure library, machine learning, shell, website. Candidate will provide day-to-day management and oversight of DOT service delivery in areas such as SaaS/PaaS Implementation (notably Salesforce), Application/Software Development, Data Analytics and Visualization, Cloud Enablement, DevOps, Agile Transformation, Digital Modernization and Cybersecurity.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The project manager will: Be responsible for all project tasks included in the task order including schedule, data collection and analysis, workshop preparation, meeting facilitation, concept development, report writing and layout, graphics development, etc.
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Solutions architecture and hands-on engineering/full-stack development of scalable and secure distributed systems using modern software technologies and programming, Cloud Native and microservices architecture, containerization, and API-First design patterns.
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machine learning natural language processing full data engineering jobs in Chevy Chase Section Five, MD
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