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PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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As part of the Direct-to-Consumer Decision Sciences team, the Lead Data Scientist will lead the creation of statistical and machine learning solutions for one or more of the content verticals of NBCU’s video streaming service.
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The Youth Worker will lead a group of 18-20 students daily in activities including sports, social-emotional learning, enrichment, and academic support programming. Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom.
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Data Center Technician II are tasked with the installation of a variety of circuits, including Ethernet, Sonet and Dark Fiber. The Data Center Technician II provides an overall focus on positive proactive end-user customer service through phone, email, face-to-face, and our internal case management systems.
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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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Databricks Machine Learning Certificate Preferable. This includes knowledge of identity and access management, network security, encryption methods, secure data communication, and securing serverless architectures.
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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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Define and implement the "intents" and "entities" that define the conversation interaction, along with building human language data sets to train machine learning models driving the virtual assistant.
$179,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
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The individual will also support research data entry, consent to genetics research studies, and provide back up support to the Women’s Genetics Center Genetic Testing Coordinator and genetic counselors.
$85,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred Qualifications- Previous experience or advanced coursework in data science, algorithmic engineering, or machine learning. - Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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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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Experience with network-attached storage systems (preferably NetApp), Windows Server 2012 or higher, and VMWare ESXi/vCenter management, familiarity with public cloud infrastructure (Amazon Web Services, Google Cloud Platform, Azure) and containers (Docker, Kubnernetes, Singularity), familiarity with graphics processor unit (GPU) usage Cluster Computing and basic knowledge of Deep Learning is preferred.
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network data center machine learning jobs Title: engineer in New York, Maumelle, Arkansas
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