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Working understanding of the DIAs Modern Integrated Data Base (MIDB) and familiarization with the Machine-assisted Analytic Rapid-repository System (MARS). + Working knowledge and use of adult learning, course and curriculum evaluation, the ADDIE model, and Blooms Taxonomy.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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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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Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced cloud data engineer/developer to help lead a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to empower customers to securely store and analyze data.
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Our developed systems empower our customers to deliver Live as well as On-Demand Video Streaming to their audience, store and share multimedia content as well as perform Video and Audio Analysis using Machine Learning.
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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.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience with HTML, CSS, JavaScript, and at least one modern front-end framework, preferably Angular. Experience with HTML, CSS, JavaScript, and at least one modern front-end framework, preferably Angular.
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Strong working knowledge of deep learning, machine learning, generative AI, and statistics. Are you looking to work at the forefront of Machine Learning and AI? Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Caffe, Torch, Theano or similar and deep learning (e.g., CNN, RNN, LSTM.
$239,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Knowledge of machine learning, artificial intelligence, or data analytics. Experience leveraging a modern web framework (such as React or Vue) and related technologies. While responding to these challenges, you will leverage and grow your hands-on skills with software design and development, engaging in the full software engineering lifecycle using modern technologies.
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Assess, transform, organize, and optimize data for use by machine learning algorithms. You are familiar with machine and deep learning libraries such as Scikit-learn and PyTorch.
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Develop and implement IoT system architectures that enable varying data transport profiles including large data sets for machine learning. Our software stack includes Java-based microservices in AWS using modern orchestration and integration systems.
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Experience designing systems for artificial intelligence (AI) and machine learning (Client) preferred. Experience working system upgrades, modernization, legacy system transition, data migration, system analysis & design.
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