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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Senior Machine Learning Engineer - Defense & Aerospace. As a Senior Machine Learning Engineer , you will utilize technical skills to make an impact. Join our team as a Machine Learning Engineer, where you will play a crucial role in deploying and maintaining models.
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About the roleIn the role of Senior Research Developer, (internally titles: Machine Learning Engineer), you will report to the director of data science and machine learning in the Center for Data and Insights.
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Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
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Pref Proficient in using various programming languages and tools for data analysis and machine learning, such as AWS Sagemaker, Comprehend Medical, Python, SQL, TensorFlow, PyTorch, or Spark.
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Position for Sr. Data Scientist Technical Side Needed with HealthCare Or Financial Domain Needed Loc
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Related Bachelor’s degree in Data Science, Applied Mathematics, Computer science (e.g. specialization: Machine learning/Artificial Intelligence /Visualization, databases, and Big Data), Statistics, Epidemiology, Health Services Research, or closely related field with Data Science specialization or additional related equivalent work experience.
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1-5+ years of experience in Machine Learning (ML), Data Science, and Artificial Intelligence (AI), ideally with deep learning experience. We are looking to add an experienced Machine Learning Engineer to our esteemed team who can develop cutting edge Deep Learning technologies in the domains of Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation.
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Qualifications Minimum Qualifications On going MS or Ph. D student in Visual Computing, Computer Vision, Computer Graphics, 3D Vision, or related field industry or research experience with deep learning and computer vision Experience with Python Familiar with linear algebra, and numerical optimization Experience with cloud platforms such as GCP, Azure, or AWS Experience with machine learning and deep learning and modern 2D and 3D Vision.
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We are in search of a driven and experienced individual to join our dynamic and thriving team. GPAC (Growing People and Companies) is an award-winning search firm specializing in placing quality professionals within multiple industries across the United States since 1990.
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Projects feature St Jude Children's Research Center, Hadassah Medical Center, MADRE, the World Health Organization, the Fistula Foundation, and more.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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5+ years of experience in Business Intelligence/Decision Support/Data Engineering/Data Warehousing roles working with multiple disparate, large, complex datasets requried. Experience working with Python, R, particularly for ETL or Data Science related tasks.
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