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Hands on technical and functional work with Oracle, PostgreSQL, Informatica, MicroStrategy, custom web applications, and AWS. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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The School of Technology and Innovation in the College of Business, Innovation, Leadership, and Technology (BILT) at Marymount University invites applications from persons qualified to teach undergraduate and graduate Data Science lecture and hands-on courses on topics that include: Data Science Concepts, Data Analysis, DataOps, Machine Learning, Artificial Intelligence, and more.
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10+ years of hands-on experience in NLP, machine learning, or a related field. We are seeking a Principal Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) but also possesses a pragmatic, hands-on approach to navigating the complexities of innovation.
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Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. Join Accenture Federal Services to do the work you love in an inclusive, collaborative, and caring community, where you can be empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
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Usage of Azure Storage ranges drastically - from hot access such as disks, to millisecond access such as video streaming data, to cold data such as archival data, and to hyperscale access, big data, machine learning, and many more.
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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning.
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Building your skills through training and hands-on coaching to perform minor repairs such as installing mounted tires, replacing or rotating tires and performing preventive maintenance repairs. The associate must be able to perform all work adhering to DOT, OSHA, and all Penske safety and maintenance policies; including but not limited to the correct selection and use of appropriate tools, PPE, machine guarding, and established best safety practice.
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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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Minimum of 5 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG) Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies.
$336,900 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Foundational Knowledge of Google Big Query, Node.js, CSS, Python, Domo, machine learning concepts. Hands-on experience working with Adobe Data Collection and integration with AEP using WebSDK.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
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Hands-on experience with TensorFlow, Keras, or other machine learning libraries. Deep understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, ensemble methods, and deep learning.
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Hands-on research: You’ll conduct and lead novel research in applied machine learning and artificial intelligence. Overview: As a Senior Machine Learning Research Scientist, you will specialize in conducting machine learning research in our Adversarial Machine Learning (AML) Lab.
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Hands-on experience with full suite of software lifecycle tools (Confluence, Jira, Stash, Jenkins, Artifactory, etc.) 2+ years of hands-on experience with ETL/data pipeline development experience, leveraging industry-standard tools, ideally Informatica.
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Databricks Data Engineer Professional and Databricks Machine Learning Professional certifications a plus. Extensive knowledge of data warehousing and data lake concepts and hands-on experience deploying pipelines using Databricks.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago
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