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Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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As a Senior Principal Software Engineer in the Oracle Cloud Infrastructure Operational Observability team, you will work with teams to define and deliver new patters of operating the OCI cloud with high availability.
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Statistical analysis using machine learning algorithms such as natural language processing, logistic regression, Random Forest or gradient boosting. Oracle Senior Principal Software Development Engineer (OCI) Cheyenne , Wyoming Apply Now We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure.
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Oracle Senior Principal Software Development Engineer (OCI) Juneau , Alaska Apply Now We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure.
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Oracle Senior Principal Software Development Engineer (OCI) Des Moines , Iowa Apply Now We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure.
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Oracle Senior Principal Software Development Engineer (OCI) Topeka , Kansas Apply Now We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure.
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Oracle Senior Principal Software Development Engineer (OCI) Lincoln , Nebraska Apply Now We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure.
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Create advanced machine learning algorithms such as regression, simulation, scenario analysis, modeling, clustering, decision trees and, neural networks. 3-5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
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Creating programming and automation techniques, such as libraries, that simplify day-to-day processes using tools to develop and train machine learning models. You will architect broad systems interactions, be hands on, and use advanced analytics technologies, including machine learning and predictive modelling, to support the identification of trends, scrape information from unstructured data sources and provide automated recommendations and data driven solutions for technical operational decisions.
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Implement new statistical, machine learning, or other mathematical methodologies to solve specific business problems. Some Machine Learning experience. Senior Principal Software Development Engineer (OCI.
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Built using database and storage software from Oracle and industry standard hardware from Sun/Intel, Exadata Database Machine provides a fully optimized engineered system for best performance, scalability and high availability.
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Hands-on experience developing services on a public cloud platform (e.g., AWS, Azure, Oracle) An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in.
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At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.
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Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability.
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Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
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