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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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Communicates physical database designs to lead data architect / database administrator. This includes supporting traditional reporting and more advanced analyses based on artificial intelligence and machine learning.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Develops and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open-source capabilities.
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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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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Relevant industry experience is important (Site Reliability Engineer (SRE), Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator or similar role), but ultimately less so than your demonstrated abilities and attitude.
$105,000 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As the System Administrator you will support a major program advancing the state of the art in Machine Learning Operations (MLOps) supporting mission-focused big data analytics and predictive analytics.
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With varying levels of expertise in software development, data, cloud, machine learning, artificial intelligence, UX design, web development, etc, we provide unparalleled opportunities to technology talent worldwide while reshaping industries, disrupting traditional business models, and creating new opportunities for innovation and growth.
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. As a Database Administrator, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do:Support Oracle Database Administration involving Data Guard, GoldenGate and migrations.
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As a Databricks Administrator, you will be responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Our expertise spans Operations, Training, Engineering, Nanotechnology, Statistics, Machine Learning and Software Engineering – enabling data and tech-enabled solutions that deliver real value.
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Entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. For data Science/Machine learning PositionsREQUIRED SKILLS.
$85,000 - $125,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Involved in research and development projects to include artificial intelligence (AI) and machine learning (ML). What you bring to the Team: Five years Network Engineering and/or System Administrator with experience in servers, storage devices, writing and editing configurations of switching and routing equipment.
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Drive the state of the art in scientific computing for life sciences as the Senior Machine Learning Engineer in the Bystro team. Our current expertise spans disease-associations, statistical genetics, genomics, and "big data" analysis, as well as software engineering and systems architecture.
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Own back-end services like our Hadoop data warehouses, front-end services like Messenger and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between. We sail into uncharted waters every day at Facebook in Production Engineering, and we are always learning.
$143,000 - $204,000 a yearFull-timeExpandUpdated 5 days ago
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