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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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Participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government You'll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books.
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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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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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Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies. Experience with using deep learning frameworks, including Keras, TensorFlow lite, or PyTorch mobile.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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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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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
$110,000 - $134,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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.
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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.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cyber Governance and Risk is seeking an associate to develop into a subject matter expert lead within the Payment Card Industry (PCI) team providing consulting to the enterprise regarding the PCI Data Security Standard (PCI DSS) and other applicable PCI Council standards.
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data center deep learning jobs Title: engineer Company: Nvidia in Arlington, VA
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