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The Director of Early Learning must also be knowledgeable of the National Association for the Education of Young Children (NAEYC) accreditation standards, the State of Georgia’s Bright from the Start Quality Rated (QR) standards and regulatory requirements, including the Ga. Pre-K Program.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
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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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Serves as backup administrator for the Learning Management System (LMS - Cornerstone) Experience with Learning Management Systems (LMS) such as Cornerstone, and Adobe Prime; Learning Content Management Systems (LCMS); or Content Management Systems (CMS.
$92,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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The position requires experience and demonstrates capability in standard molecular biological techniques, e.g., isolation of nucleic acids from various clinical specimens (blood, body fluids, and tissue), polymerase chain reaction (PCR), real-time PCR, in-situ hybridization, and essential NGS laboratory technics, e.g., library preparation and handling of sequencing machine.
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Subject matter expert in cyber security practices that include the configuration and architecture of security tools and products, service-oriented architecture, machine learning and artificial intelligence, Domain-Driven Design, etc.
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Lead Machine Learning Engineer. Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Serve as a subject matter expert in machine learning and fintech domains.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Developing and deploying machine learning pipelines using Vertex AI and Kubeflow for data processing, feature engineering, model training, evaluation at scale in production on GCP ensuring data quality, integrity, and security.
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Experience or interest in data science, machine learning, artificial intelligence, wireless communications, sensors, semiconductors, Internet of Things, Ior related fields. Receive training and development that could lead to becoming a licensed patent agent by the United States Patent and Trademark Office (USPTO.
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The Learning & Development Partner reports to the Learning & Development Manager and serves Brasfield & Gorrie’s internal clients as a learning and development professional. Assist the Learning & Development Manager with department planning (e.g. budget, program implementation.
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Demonstrated professional familiarity with Artificial Intelligence (AI), machine learning, cybersecurity, IoT security, and global technology supply chain is an asset. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Implementing machine learning algorithms including, Linear Regression, Logistic Regression, Support Vector Machines (SVM), Random Forest, and Gradient Boosting utilizing SAS and Python; Utilizing public clouds, including AWS, Azure, or GCP, to build Machine Learning models.
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machine learning jobs Title: lead scientist in Atlanta, ID, Canada
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