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Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions.
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Pursuing a master's or doctoral degree in Computer Science, Computational Linguistics, Artificial Intelligence, or related fields. Pursuing a master's or doctoral degree in Computer Science, Computational Linguistics, Artificial Intelligence, or related fields.
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The ADAS team develops and delivers software for advanced features that make use of machine learning and artificial intelligence in support of features such as Blue Cruise, Pro Trailer Backup Assist, and Pro Trailer Hitch Assist.
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We grow our team of ambitious data scientists/enthusiasts utilizing artificial intelligence including large language models to enhance user safety on devices and in the digital space on the internet.
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Knowledge in Business Intelligence, Artificial Intelligence, and Machine Learning. Vianai's unique human-centered approach empowers data professionals and domain experts to leverage causal data science, drive deeper intelligence into decision making and improve business outcomes.
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Contribute to machine learning and artificial intelligence projects, applying data-driven decision-making processes. We are seeking a Full-Stack Engineer with a solid foundation in software development and an interest in machine learning and artificial intelligence.
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2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role. Experience with data visualization tools (e.g. Grafana, Looker, Tableau, DataStudio) building dashboards, source control (e.g. GitHub), ticket management (e.g. JIRA.
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Experience in any of the following areas: natural language processing (NLP), big data, data mining, web data processing, large language models (LLM), algorithms and data structures, parallel and distributed computing.
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This involves working with the Privacy, Cybersecurity and Data Innovation and Artificial Intelligence Practice Groups, where you will work with the Practice Group Manager and global Co-Chairs to provide high-quality legal content and skills for our U.S. lawyers.
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Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships.
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Ensures that data regarding Vizient quality and safety initiatives are routinely reviewed and actions for improvement are identified and acted upon by multi-disciplinary teams. Ensures the integrity and accuracy of the data utilized to implement process and outcome improvement programs.
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Demonstrated experience with statistical analysis and business intelligence (BI) tools (Minitab and Power BI desired). Fighting cancer calls for big ideas. Assists in manufacturing decision-making informed by data collected on production, labor, and material costs.
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Ability to work with data sets at all sizes – from a small summary sheet to big dataCapability for developing ETL processes for new data sources Working with geographic data in with multiple formats, including open source grids, census geographies, and point data (latitude/longitude.
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Prior hands-on Data Analyst or Business Data Analyst or Business Systems Analyst or Business Intelligence analyst experience, including actual assignments understanding process, data, and business system conditions for quote-to-cash (must.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employers data processor SonicJobs. PhD/PsyD/EdD in Clinical Counseling, Health or School Psychology from an accredited college or university.
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artificial intelligence big data jobs Title: engineer in Palo Alto, Washoe-county, Nevada
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