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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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Hadoop, HDFS, Teradata, snowflake, AWS cloud, Hive) Solid understanding of advanced statistical methods and machine learning techniques: GLM/Regression, Random Forest, Boosting Trees, Neural Network, Clustering, KNN, Anomaly Detection etc.
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Works closely with Decision Science, Sales and Sales optimization partners to deploy and leverage Artificial Intelligence/Machine Learning capabilities that improve efficiencies within sales funnel.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.
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As an Applied AI Machine Learning Lead within our dynamic team, you will be responsible for applying advanced machine learning techniques to intricate tasks such as natural language processing, speech analytics, and recommendation systems.
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Cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies - AWS Services experience is a plus Public/private cloud experience.
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