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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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As a Resident I Graduate Nurse you will be surrounded by a supportive community of nurse educators, experienced nurses, and fellow residents that promote learning, clinical application, and socialization, shepherding you through the transition from student nurse to registered nurse.
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The EHS Specialist will be responsible for supporting the development, implementation, and management of critical EHS programs and training to ensure regulatory compliance while promoting a culture of learning and operational excellence.
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Facilitation of Learning: Facilitates learning for patients and families, nursing staff, other members of the health care team and community; integrating appropriate education throughout the continuum of care to help them participate and/or make informed conclusions about their health care and treatments, including health promotion and disease prevention.
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About the Job As a GPU based Machine Learning (ML) system Supplier Quality Engineer, you will join the team responsible for setting and managing the quality and reliability standards for our semiconductor component (e.g., custom silicon, ASICs, CPUs, SSD, etc.
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Learning to provide caregiving services to a group of residents in assisted living and/or memory care including exceptional ADL assistance. Learning to provide hands-on assistance with bathing, dressing, toileting, hygiene care & mobility in a fast-paced senior living community with varying levels of acuity.
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Helps evidence-based practice changes through research utilization and experiential learning. Assesses and documents learning needs and outcomes. Location(s): This Float Pool RN position covers our Greater Austin Region - North facilities: Taylor, Round Rock, Pflugerville and Cedar Park.
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We have a fast-growing team that's distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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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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We promote student success and community development by providing affordable access, through traditional and distance learning modes, to higher education and workforce training, including appropriate applied baccalaureate degrees, in our service area.
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1 - 2 years' experience as a learning management system administrator. The Learning and Development Coordinator is responsible for maintaining the organization's training calendar and training records, marketing departmental initiatives and monitoring compliance.
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Working independently, you’ll be using your out-of-the-box critical thinking skills to support prospective Grand Canyon University students through the admissions process, guiding them on the right path towards a successful online learning experience.
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Annual incentives for budget compliance Paid vacation 401(k) contributions Health and dental insurance (US) Annual Learning budget Travel Expenses Cell and WiFi allowance Team offsites Cultural Fit: Crusader, not Undertaker We are obsessed with our consumers and clients.
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Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, A/B testing of models. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
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Access to a robust learning management system, full of e-learning modules and training programs to help boost your professional and personal development. CFF is the parent company to eleven brands including TitleMax®, TitleBucks®, InstaLoan® Check Into Cash®, Cash 1®, Check Smart®, Easy Money®, Rapid Cash®, and Speedy Cash.
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learning job Company: Maxim Healthcare Services in Austin, TX
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