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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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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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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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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.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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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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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Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java). Lead the design and development of advanced machine learning models to solve business challenges, leveraging techniques such as deep learning, reinforcement learning, natural language processing, and computer vision.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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At the undergraduate level, we offer bachelor's degrees in Sign Language Interpreting, Special Education, Human Learning and Development, and a minor in Educational Psychology. The Department of Learning Sciences at Georgia State University invites applications for a Clinical Instructor or Clinical Assistant Professor position in Special Education to begin in May 2024.
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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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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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Access to a robust learning management system, full of e-learning modules and training programs to help boost your professional and personal development. Associate degree or higher.
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CFF is the parent company to eleven brands including TitleMax®, TitleBucks®, InstaLoan® Check Into Cash®, Cash 1®, Check Smart®, Easy Money®, Rapid Cash®, and Speedy Cash®. Any official email correspondence will come from the domains ccfi.com, titlemax.com or titlemax.biz. In-store positions are in-person only, remote options not available.
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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
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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 (e.g., AWS, Google Data Analytics, Microsoft Azure.
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machine learning jobs Title: associate in Atlanta, NV, France
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