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Kāpili Services is charged with making the above hardcopy materials easily accessible to DTRA deterrent mission researchers in a way that provides knowledge and meaning through the use of digitization, Machine Learning (ML), Artificial Intelligence (AI), and data science.
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What You’ll DoAs a Tool and Die Maker, you’ll be part of our team located in Lakewood, OH. You’ll get to: Set up and operate tools such as lathes, milling machines, shaper and grinder to machine parts and verify conformance of machine parts to specifications.
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Spectrum of offerings across basic RPA to machine learning, cognitive automation, and Quantum Computing capabilities. Bachelor’s degree in computer science, Data Science, Machine Learning, or relevant technical field from an accredited institution required.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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In Support Product we build highly available and scalable, Machine Learning driven products that integrate with the broader Cash App ecosystem to help customers solve their problems.
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Serves as a knowledge resource for machine learning software and/or systems used in production at ILM. This includes end user support of alpha and beta release cycles. We are looking for a R&D Engineer who reflects the innovative spirit and passion for great filmmaking that defines ILM. The R&D Engineer (Artificial Intelligence / Machine Learning) is responsible for developing software systems and techniques for creating visual effects, with an emphasis on machine learning technologies.
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google’s Vertex AI, Azure’s AI tools, and AWS’s Machine Learning services.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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Job DescriptionUnder the supervision and direction of the Expanded Learning Manager and Expanded Learning Site Lead, the Expanded Learning Mentor (ELM) will develop and implement academic and enrichment activities for groups of 20 students in grades 1st - 8th and/or groups of 10 in grade TK or Kindergarten.
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Machine Learning Engineering - Dallas, TX (Hybrid) Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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A Lead or Sr Computational Research Scientist position is immediately available in the laboratory of Dr. Xiang Chen in the department of Computational Biology to develop and apply innovative machine learning/statistical learning approaches to understand interactions between genetic alterations and epigenetic deregulations and to discover potential biomarkers for predicting drug responses in pediatric cancers.
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You will contribute to and be part of an engaging, dynamic and inclusive engineering organization, grounded in scrum and agile practices, CI/CD, great collaboration, functional programming and motivated by a commitment to continuous learning and improvement.
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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We're looking for top-notch search engineering talents in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search and multi-modal search.
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machine learning jobs Title: engineering manager customer support
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