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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
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As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Our Machine Learning Engineer role is at the core of this transformation, creating intelligent systems that automate processes, derive insights, and enable us to make better decisions.
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World Learning is seeking Chiefs of Party (COPs) for upcoming USAID projects across Asia, Eastern Europe, Latin America, the Middle East and North Africa, and Sub-Saharan Africa. World Learning provides a comprehensive and competitive benefits package that includes: medical, dental, vision, FSA/HRA, Life/AD&D, Short Term/Long Term Disability, EAP, Parking and Transit, 403 (b) retirement plan for full-time and eligibile part-time employees.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
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Experience with multiple Learning Management Systems (e.g., Connect, Moodle, or related products to produce live virtual training), including developing online training courses using Articulate 360, Adobe Captivate with experience with Adobe Captivate 7 or newer, or a similar software application.
$81,012 - $96,870 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$160,000 - $190,000 a yearRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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Monitoring, Evaluation, and Learning (MEL) Specialist to support the implementation of the Racial and Ethnic Equity Initiative at the United States Agency for International Development (USAID), Bureau for Development, Democracy, and Innovation (DDI), Inclusive Development Hub (ID Hub.
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Support USAID/BHA and other relevant partners in documenting learning, including designing methodologies and data tools, analyzing, and interpreting data, and writing up learning briefs, organizing webinars, or other knowledge dissemination modalities (stories, social media, videos etc.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Situated on a 130-acre campus just 7 miles from Washington, D.C., Episcopal has a highly rigorous college preparatory curriculum and high-caliber faculty that intentionally leverage the educational and cultural resources of Washington, D.C., to provide students with unparalleled experiential learning opportunities.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Our Federal Sales Manager's are individual contributors who play a vital role in driving a significant share of revenue for Okta. We provide our reps with an environment in which they can make valuable contributions from day one while also building opportunities for learning and growth.
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WorldStrides offers experiential learning programs in educational travel, performing arts, language immersion, career exploration, service-learning, study abroad, and sports. Job DescriptionWorldStrides is the global leader in educational travel and experiential learning.
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learning job Title: electrical engineer Company: Optello in Alexandria, VA
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