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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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3+ year(s) of work experience in a university, industry, or government lab with emphasis on AI Research in machine learning, deep learning, and/or natural language processing. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU.
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Share insights from conferences focused on statistics, machine learning, and data science. Apply quantitative techniques like machine learning to a vast array of datasets. Learning: Tuition reimbursement, conference and training sponsorship.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Director, Model Validation for SHUSA Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR- and other regulatory requirements around Compliance models.
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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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We use Deep Learning (the most sophisticated machine learning) to build custom algorithms for digital marketers to help grow their customer base. Cognitiv has been revolutionizing the programmatic/ad tech space for the last 8 years as the only programmatic buying platform to leverage Deep Learning in real-time.
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Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. PayPal is seeking a talented Staff Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including BrainTree, Venmo and PayPal. Your goal will be to optimize the customer journey through personalized, thrilling experiences.
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Capability to leverage techniques in statistical analysis, machine learning, and predictive modeling is an advantage. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.
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Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
$342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will work with technologies like Python, Docker, Kubernetes, PyTorch, TensorFlow, and cloud platforms to write scalable and optimized data access patterns for real-time machine learning applications.
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Organization Overview The newly-created Data Science Resource Center (DSRC) is responsible for supporting and advancing the research objectives of Rockefeller University's faculty and staff by providing training and consultative support in the field of data science - especially in the areas of machine learning and artificial intelligence (ML/AI.
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Proficient in machine learning frameworks like TensorFlow and PyTorch. Drive innovation in the Data Science and Technology practice, focusing on generative AI and machine learning.
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Vertex AI Integration:o Work closely with data scientists and AI specialists to integrate and optimize solutions using Vertex AI on GCP.o Implement and manage machine learning pipelines and models within the Vertex AI environment.
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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machine learning jobs in New York, Columbia, Missouri
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