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Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation)Total BenefitsHere are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark.
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We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into todays most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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23andMe is seeking exceptional researchers with backgrounds in machine learning, statistics, physics, applied mathematics, and/or computational biology. Deep understanding of computational biology, statistical genetics, and/or machine learning.
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5+ years experience in AWS (or other clouds) relevant to machine learning including data processing & storage, API development, MLOps, CI/CD pipelines, and container orchestration (preferably ECS & EKS.
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
$160,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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To do this, you must interface directly with machine shops, sheet metal fabrication shops, internal staff members and management, as well as customers. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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For the purposes of this search, AI/ML includes machine learning, artificial intelligence, and technologies where machine learning could be applied to high volume or technical data (i.e., digital interventions, mobile health, robotics, simulation and virtual reality, and wearable technology.
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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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This role will be part of a multidisciplinary actuarial/data science team designing and delivering powerful, analytical tools utilizing statistical modeling, machine learning, and advanced data engineering techniques to enhance and overhaul core actuarial processes.
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Machine learning, photonics, robotics, schematic, software engineer. 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence.
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch,. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) The Offer Bonus eligible You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) 401(k) {including match- if applicable} Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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Keep current on latest developments in field of AI, Machine Learning, Deep Learning, NLP, Image processing and by reading relevant papers/ journals and applying the new learnings to create innovative data and analytics solutions.
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Collaborate with the Enterprise Data and Machine Learning SRE staff to promote a DevOps culture among EDML app teams in accordance with You Build You Own (YBYO) principles. Center 1 (19052), United States of America, McLean, VirginiaSenior Software Engineer, DevOps (Remote-Eligible)Do you love being part of a solution, identifying and developing preventative solutions.
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