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Deep Learning: Understanding neural networks, backpropagation, architectures like CNNs, RNNs, transformers, and tools like TensorFlow, PyTorch, or Keras. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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The Assistant Dean supports the AUWCL faculty with online learning and course design for JD, LLM, or SJD offerings and programs. Technical Training: Oversee technical training for faculty related the online learning platform.
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Build, organize and test content and multimedia assets in Learning Management Systems (LMS) such as Moodle. A bachelor’s degree in learning, instructional design, eLearning production and/or multimedia or a similar discipline is required.
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In this role, you will leverage your expertise in Python, Natural Language Processing (NLP) techniques, algorithms and statistics, as well as your familiarity with US Department of Defense mission needs, to deploy, optimize, and evaluate innovative machine learning and algorithmic solutions in client environments.
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Familiarity with Azure services related to AI and ML, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Our team is seeking a Senior Data Scientist / Machine Learning Expert with specialized experience in Generative AI and Large Language Models (LLMs), chatbots, and natural language processing to contribute to transformative projects for a government client within the Department of Homeland Security (DHS.
$180,000 - $250,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Position:Monitoring, Evaluation and Learning Manager – Integrated Land and Resource Governance II Location: Washington, DC Metro Area Position Status: Proposal, Full-time, Regular About DAI DAI works at the cutting edge of international development, combining technical excellence, professional project management, and exceptional customer service to solve the most complex development problems.
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Senior Manager of Diversity, Equity, and Inclusion Learning & Development (Instructional Design, eLearning) Leads the scoping, development, and implementation of the firm's global short-term and long-term DEI learning, including, but not limited to education related to equity, belonging, inclusion, inclusive leadership, heritage celebrations, bias, intersectionality, racial justice, allyship, anti-hate, gender identity, and sexual orientation.
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Illustrative technologies or fields that the incumbent would be familiar with include big data, artificial intelligence/machine learning, open APIs, digital IDs, cloud computing, 5G, internet-of-things (IoT), distributed ledger technology, and others.
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Under the supervision of the VP Information Technology, the Technology Learning Manager provides mid-level project management and solutions services in support of Technology Tools Learning, Special Project Workflow, and Business Operations Learning.
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The Special Education Teacher/Learning Specialist is a member of the school's instructional staff and Academic Unit. Essential Functions & Accountabilities: Develops solid knowledge of the Montessori Learning Standards, Curriculum Maps, Scope and Sequence and all other grade-level curriculum in each content area taught, including the essential information, concepts and skills so as to better support students and assist classroom teachers.
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As a Data Scientist at our client, you will play a crucial role in developing and implementing state-of-the-art machine learning models for use cases in traffic safety, mobility, and city planning.
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4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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MA/MS or Ph. D., or foreign equivalent degree in relevant language education field with demonstrated expertise through experience or publications in one or more of the qualifications required for language instruction at FSI (i.e., curriculum development, proficiency assessment, task-based teaching and learning, adult language learning, educational technology in FLE, etc.
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learning job Company: Infor in Alexandria, VA
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