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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics.
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Strong familiarity with machine learning, data mining, dimensionality reduction, and related analytics methods (e.g., clustering, sequences, networks, time series, deep learning, regression analysis, time series, probabilistic models, supervised classification and unsupervised learning, statistical analytics, etc.
$90,000 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply coding skills to preprocess data and apply statistical, machine learning and artificial intelligence techniques, including NLP and image processing algorithms. Proficiency in the use of one (or more) of these methodologies with demonstrated and interpretable insight and impact: generative artificial intelligence (Gen AI), deep learning, natural language processing, large language models.
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Be THE subject matter expert in Cloud Security and Application Security Posture Management (ASPM), translating deep knowledge into persona-specific partner learning experiences. Collaborate with and provide subject matter expertise to partner learning professionals with the goal of upskilling CrowdStrike partners through enablement experiences, including live training, on-demand learning, video job aids, assessments, podcast education and train-the-trainer programs.
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Proficiency in data science modeling - Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling and Clustering.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Provides oversight for the Global Health e-Learning Center (GHeL) and the integration of digital learning to enhance Workforce Development activities. Oversees the maintenance of a web-based Workforce Development tracker including tracking of OL and WL services, learning needs, and measuring learning outcomes such that the workforce remains current and relevant in a dynamic environment; leverages monitoring, evaluation, and learning (MEL) data and findings to inform improvement of learning offerings (events, courses, programs, etc.
$145,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They will also have familiarity with ISR data processing capabilities and maintain a contemporary grasp of Artificial Intelligence and Machine Learning tools that are utilized to support ISR data collection.
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As a not-for-profit university affiliated research center, APL also delivered solutions to our nation's national security challenges, as proven with the recent Deep Space Advanced Radar Concept (DARC) Tech Demo, and acts as a trusted partner with the US Space Force in space domain awareness and space-integrated warfare.
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The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
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The GeoTech Center focuses on the global, national, and economic impacts of artificial intelligence, data and machine learning, personalized medicine, additive manufacturing, nanotechnology, green energy, telecommunications networks, synthetic biology, and other new technologies on the horizon.
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Saildrone works with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas—from sailing into the eye of a category 4 hurricane to obtain new data about how storms intensify, collecting new CO2 data in hard-to-reach areas, and counting fish biomass to inform sustainable fishery management, to mapping the ocean floor and reducing illegal fishing and drug trafficking.
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Our spacecraft technologies help our civilian space and national security space sponsors reason about multiple new technologies including space-based networking, machine learning, cyber security, and image recognition.
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Expert-level knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar. Experience with deep learning (e.g., CNN, RNN, LSTM) methods.
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The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.
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data center deep learning jobs Title: engineer Company: Nvidia in College Park, MD
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