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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.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. On any given day, you might:Evaluate open-source and internally-developed modeling and analytics tools using real business dataIntegrate internal data with external data sources and APIs to discover and implement actionable insightsDesign and craft data science models to communicate solutions to customers and company leadership We'd love to find someone who is.
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We are seeking a highly skilled Principal Research Software Engineer with experience in Machine Learning and Large Language Model interpretability research methods, to assist in developing the National Deep Inference Fabric, an open-source deep learning interpretability research computing infrastructure project.
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Work with big data and machine learning tools; comfortable with open-source technologies. 8+ years of experience with Data Visualization/BI tools (Tableau, QlikSense, Looker, Power BI.
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Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
$251,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. Applies machine learning solutions and algorithms to achieve objectives, prepare and evaluate data, and communicate findings and risks.
$250,200 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Support the assessment of production suitability of Open Source and proprietary solutions for Generative AI (GenAI) Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL.
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Open to learning and becoming knowledgeable in the area of pest control. Pest Control - Conduct inspections to determine the source of pest activity. Continuous Learning - Become knowledgeable in the array of available products and services through provided, paid training.
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Experience with NLP technologies, open source tools, machine learning, and/or probabilistic reasoning. We have an exciting opportunity for an enthusiastic machine learning expert with a strong interest and research experience in deep learning for natural language processing (NLP) to work on applied NLP research solving real operational problems for the US Government and commercial customers.
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As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark™, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark™, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars.
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Master's degree in Computer Science (or closely related field) with emphasis on deep learning for NLP. You will develop innovative deep-learning techniques to support specific applications.
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The Teaching and Learning Archivist will collaborate with colleagues in the Teaching and Learning unit and the Harvard University Archives to prepare and lead instruction sessions using archival material across all disciplines, teach co-curricular workshops, and develop physical and digital learning objects for primary source learning and archival literacy.
$126,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Python programming environment and applications in Natural Language Processing (NLP) and Machine Learning (ML). Understanding of data analysis software from both the command line and graphical user interface, including open source statistics packages such as R and commercial packages such as SAS, STATA, SPSS.
$117,150 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Massachusetts General Hospital (MGH) Department of Neurology and Harvard Medical School (HMS) is seeking a signal processing and machine learning post-doctoral fellow for a full-time position in the Gupta Lab.
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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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