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A graduate degree (Masters/PhD) in computer science, computer engineering, electrical engineering, mechanical engineering, aerospace engineering, or similar technical discipline with an emphasis on artificial intelligence and machine learning.
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The Machine Learning Engineer will work both individually and in concert with modeling and simulation engineers, human-machine interface developers, various subject-matter experts, and program management to design and implement suitable machine learning models, and to assist in the development of efficient, robust, and reliable intelligent system applications for several customers across government and industry.
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Bachelor's Degree - Business Administration/Management, Bachelor's Degree - Industrial Engineering, Bachelor's Degree - Information Technology, Bachelor's Degree - Logistics Management, Lean/Six Sigma (Black Belt) - Other, Lean/Six Sigma (Green Belt) - Other.
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PhD/MS in computer science, statistics, or computational science, with a focus on machine learning methods, or a PhD in a related field (e.g., computational chemistry or biology) with a strong emphasis in machine learning method development , and 10+ years of relevant experience.
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Advanced experience designing and generating scheduled and ad hoc reports using reporting/query tools (i.e. Brio, Toad, SQL Developer, MS Access, Crystal Reports, Business Objects, etc.
$122,535 - $208,715 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced data analytics designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Leidos’ Health Solutions uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission in advancing biomedical research and protecting public health.
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Minimum of 3 years' experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) + Digital Factory Strategy - Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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Azure Machine Learning (AML) – building, training, deploying, and operationalizing machine learning models, including monitoring, and maintaining models in production. Business intelligence – combining knowledge of SSIS/SSAS/SSRS/Power BI technologies with a deep understanding of data structures/data models to design, develop, and tune BI solutions and reports.
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The Advanced Analytics and Data Sciences (AADS) team brings the power of data and advanced analytic capabilities such as artificial intelligence, machine learning, and predictive analytics to identify and solve high-value business questions.
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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Advanced Manufacturing Engineer will drive the design, and procurement of equipment and tools, ensuring prototype equipment is being maintained, tooling is functional and available for SOP, process development, and assistance with systems.
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Research focuses on testing and evaluating emerging quantum hardware, investigations of quantum mechanisms that may be used to provide a quantum advantage, development of new algorithms and software for quantum computing, and application of quantum computing to a range of real-world problems involving planning and scheduling, machine learning, and fault diagnostics.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in St. Louis, MO.
$97,258 - $131,584 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop the data analytics and AI/ML skills, capabilities, processes, and tools for Teva to apply advanced techniques to achieve its growth agenda, such as machine learning/artificial intelligence, generative AI, natural language processing, natural language generation, modeling and simulation, predictive analytics, etc.
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machine learning business administration advanced manufacturing jobs Company: Dice in Vienna, West Virginia
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