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Our team develops, implements, 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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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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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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Mercer Digital specializes in business and cloud consulting, with a goal of transforming our clients' businesses by leveraging expertise in big data, cloud computing, and enterprise services.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
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Join our client as a Lead Machine Learning Engineer where you'll be at the forefront of pioneering advanced analytics for actionable insights within our FinTech and RegTech Product portfolio.
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Experience with cloud computing platforms such as AWS, GCP, or Azure. Strong background in machine learning, statistical modeling, and data mining. Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
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The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Our cutting edge system is built using modern tech stack (Java, Go, Angular, Vue) and deployed in the Cloud (AWS) as a platform to meet Enterprise needs.
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Delivery : Manage and deliver components of Oracle EBS Financials and/or Oracle Cloud ERP or indirect tax engine client engagements and teams. 5+ years' experience in implementation of Oracle EBS Financials and/or Oracle Cloud ERP including but not limited to tax requirements for direct tax and/or indirect tax.
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Including functionality of the following modules: Cloud General Ledger, Cloud Billing, Cloud Accounts Receivable, Cloud PPM, Cloud Project Costing, Cloud Fixed Assets, and Fusion Tax.
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Qualifications:Experience with designing solutions with a blend of low-code elements, pro-code enterprise elements, machine learning & AI cognitive services (for example, Power Platform, Azure App, Azure Cognitive Services & Azure Machine Learning)Fluency and Specialization with at least two modern languages such as Java, C.
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Job Purpose The Artificial Intelligence/Machine Learning (AI/ML) Engineer develops AI/ML algorithms, cloud computing, and/or heterogeneous distributed computing infrastructures to support the deployment of AI/ML applications.
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Knowledge, Skills and Abilities: Familiarity with other Cloud computing services like AWS, GCP etc., Familiarity with project management systems such as TFS/JIRA / MS Project / Excel. Software analysis, code analysis, requirements analysis, software review, identification of code metrics, system risk analysis, software reliability analysis Collaborate with 3rd party vendors and develop suitable integration solutions Conduct formal and informal training and learning sessions with Team members.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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machine learning cloud computing jobs Title: manager in Atlanta, UT, Canada
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