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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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The team uses emerging technologies and methods such as data fabric, machine learning, GenAI, NLP, computer vision, artificial intelligence automation, big data analytics, and cloud native application development to drive innovation, operational efficiency, and provide the data product excellence our customers have come to value and trust us for.
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Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses around the globe elevate their results. You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
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The Housing Specialist will be experienced with the housing process, be familiar with housing resources, be able to form relationships with landlords and brokers, inspect apartments, accompany clients to apartment viewings, and collaborate with the Department of Social Services (DSS) to link apartments and utilize rental subsidy programs.
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Employee performs advanced and supervisory work to carry out Board of Education policies and procedures related to Title III under the direction of the Executive Director, Learning and Language Acquisition.
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5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is at the heart of our customer support, and we are looking for a senior modeler to build high-quality support experiences.
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The team As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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This innovative role combines the traditional responsibilities of a Behavior Interventionist with a forward-thinking focus on Social Emotional Learning (SEL), specifically tailored towards understanding and addressing the impacts of trauma on student behavior and learning.
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Microsoft Office Specialist: Microsoft Office 2016; Microsoft Office Specialist: Associate (Office 365 and Office 2019); Jamf Pro Certified Tech/Admin; HDI-CSR; HDI-SCA; HDI-DAST; HDI-TSPS; or other industry-recognized certifications.
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Stay up to date with the state-of-the-art technologies of AI Agent, LLM, NLP, and Deep Learning, and proactively apply them to our use cases to drive innovation of WGU. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
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Own the quality of end to end learning experience for our global flagship programs in the domain of analytics, data science and artificial intelligence. Own the hands on development of all the different components of the learning experience, including but not limited to video content, hands-on/ labs material, projects and various other learning activities/interventions.
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Our laboratory applies computational and machine learning methods to investigate the impact of seizures and abnormal brain activity on outcomes in pigs with cortical impact. The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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The Human-centered AI team in Digital Health Oncology R&D is looking for an Associate Director of Data Science to specialize in the development of novel digital endpoints using data science, statistical learning, and innovative machine learning methods on multi-modal datasets including clinical data, real world evidence, imaging, wearables, and other biomedical data sources to address patient burden.
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learning specialist jobs Title: curriculum Company: Spectrum Center Schools And Programs
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