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Using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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We are seeking a highly skilled and motivated Senior Applied Machine Learning Engineer for our Federal Delivery team who is passionate about delivering value to US Federal Government clients with Generative AI. If you have experience harnessing data to deliver mission impact at enterprise scale, enjoy working with alongside product teams to iteratively improve capabilities, and thrive in client-facing technical environments, we would love to hear from you.
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Responsible to advance NOAA’s use in digital transformation Artificial Intelligence (AI) and Machine Learning (ML) techniques, working with the enterprise stakeholders as they tackle data management, integration, dissemination, warehousing, and governance to manage the complexity of critical mission data for actionable insights and decision making.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometrys ML team and technology.
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Familiarity with machine learning frameworks and data science workflows. As a ML/Data Engineer at Corteva, you will be responsible for designing, building, and maintaining the data pipelines that empower our data-driven initiatives.
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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy.
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Keywords: AI, Artificial Intelligence, Consultant, Government, Secret Clearance, Top Secret Clearance, TS/SCI Clearance, Department of Defense, DoD, Air Force, Pentagon, Defense Contractor, Machine Learning, Data Science, Natural Language Processing, Computer Vision, Deep Learning, Algorithm Development, Security Clearance, Government Contracts, Federal, Defense, Cybersecurity, Analytics, Big Data, Software Development, Programming, Python, Java, C.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Certified Artificial Intelligence Engineer (CAIE™) certification AWS Certified Machine Learning – Specialty Google Machine Learning Engineer Certification TensorFlow Developer Certificate Program Certified Artificial Intelligence Scientist (CAIS.
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Machine Learning Engineer, Senior. 4+ years of experience working in data science, machine learning engineering, or data research, in a professional or academic environment. Are you fascinated by the possibilities presented by the IoT, machine learning (ML), and artificial intelligence (AI) advances.
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Experience as a data engineer to provide and prepare data to enable data science and machine learning. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI) as well as robotic process automation (RPA.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research. The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. Experience with front-end development using HTML, CSS, and JavaScript frameworks (e.g., React, Angular, Vue.js.
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machine job Title: electrical engineer in Mclean, VA
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