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We're looking for someone like you to lead complex data exploration and analytics projects through your experience with the full life cycle of machine learning development and deployment for fraud, waste and abuse, identity theft, risk, and other rare event detection.
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Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Drive engagement and lead generation through targeted digital campaigns, email marketing, and search engine optimization (SEO) strategies.
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As a Machine Learning Scientist III, you'll lead impactful projects, shaping the future of Paid App Data-driven Products and Applications with practical machine learning and deep learning approaches.
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NAACOS envisions that this sharing will lead to integrating new perspectives and learning into NAACOS' priorities and offerings. Second, to cultivate and amplify a community of value-based care learning.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree. - 4+ years experience in building machine learning and deep learning models for large scale customer facing product of features.
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Jensen Hughes has implemented reasonable physical, technical, and administrative security standards to protect personal data from loss, misuse, alteration, or destruction. Bachelors of Science in Polymer Engineering, Chemistry with a concentration of polymer coursework or equivalent degree with focused thesis/coursework/project experience in engineering mechanics or machine design issues is required.
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Our integrated ESL-DL-Child Development adult education classes are taught either fully in-person or in a hybrid model with 3 days of class on Zoom. Briya offers a learning environment with a variety of technology available to enhance daily lessons and activities.
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The Data Engineer will primarily create and deploy robust, repeatable, and automated data pipelines that will ingest and transform raw data to support various advanced analytics and machine learning models.
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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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Lead technical solutions for infrastructure and application management, monitoring, and operations with standardization and automation focus. Lead technical solutions in measuring and improving reliability, quality and efficiency of FreeWheel platforms.
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Our Federal Sales Manager, (FSM) will lead the sales process within an assigned territory for the National Security. Our Federal Sales Manager's are individual contributors who play a vital role in driving a significant share of revenue for Okta. We provide our reps with an environment in which they can make valuable contributions from day one while also building opportunities for learning and growth.
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Experience in implementing statistical tools and machine learning algorithms and libraries like Python, Matlab, R, SAS, Stata, etc. Experience with one or more major data quality tools and platforms, such as Informatica, IBM, SAP, SAS or Trillium.
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15 plus years of experience working on EBS implementation & O&M project in a technical capacity as a DBA, Tech Architect, Infra Lead, or Tech Manager (will accept less years of experience with a degree.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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machine learning technical lead jobs Title: data engineer Company: Amazon in Mclean, VA
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