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Strong background in artificial intelligence and machine learning, including experience with deep learning frameworks like TensorFlow or PyTorch, for evaluating advanced document processing algorithms and models.
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LICENSING/CERTIFICATION Any certification specializing in data engineering, big data, data science, machine learning, artificial intelligence, or statistical analysis from accredited institutions of higher learning.
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Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) As an AI Machine Learning Engineer, the individual in this role typically works full-time, focusing on designing and developing scalable solutions using AI tools and machine learning models.
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PhD in Chemistry, Artificial Intelligence, Machine Learning, Data Science, Material Science, or a closely related field. Employ advanced AI and machine learning models, including deep learning and predictive analytics, to identify novel materials and predict their performance within battery systems.
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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What you would do as a Machine Learning Engineer: Reporting to the Commercial Development Manager, you would work in parallel with the Openings Studio software engineers, Openings Studio Product Owner and divisions to identify technical opportunities for growth in future-forward areas (e.g. machine learning, artificial intelligence, etc.
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Serve as the top technical expert in deploying, upgrading, troubleshooting Artificial Intelligence/Machine Learning/High Performance Compute Solutions platforms. Strong Networking Fundamentals along with Converged Infra (CI)/Hyper Converged Infa (HCI) Management Certification along with hands-on experience with Amazon Kubernetes Service (AKS), Amazon EKS, Google Kubernetes Engine (GKE), Rancher.
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We seek a collaborative and highly innovative computational scientist to join our Predictive Sciences team and develop predictive models using cutting-edge machine learning/artificial intelligence techniques to discover novel therapeutic opportunities.
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Are you an experienced NLP Engineer with in-depth expertise in computational linguistics, artificial intelligence, programming, and a strong understanding of fundamental NLP concepts? RYTE, a breakthrough Artificial Intelligence health tech company is looking for a Senior NLP Engineer who will contribute to pushing the boundaries of RYTEs natural language processing capabilities and driving innovation within the companys linguistic technology initiatives.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Join us to do the best work of your career and make a profound social impact as a Senior Principal Engineer - Site Reliability Engineering on our Service Delivery Team in Austin, Texas. Expertise in Kubernetes, OpenShift, Docker, Container Networking, and Cloud Native Platform/ Applications.
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STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.
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Accordingly, we invite applications from individuals with demonstrated experience in machine learning, artificial intelligence, signal and image processing, multi-sensor processing and fusion, visualization, and remote sensing.
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