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Extensive experience and proficiency in tools for video (Vyond and Adobe Premier Pro), visual design (Adobe Photoshop, Adobe Illustrator, Adobe After Effects, Figma), and learning (Articulate Storyline / Rise.
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As an Applied AI Modeling Lead, in our Business Modeling organization, you will work with colleagues across JPMorgan Chase to create high-impact quantitative finance models for stress testing (CCAR/DFAST), decision optimization, and strategic planning.
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Mentor and guide junior researchers and designers and foster a culture of continuous learning and knowledge sharing within the user experience design team. Ability to reuse existing research and design light touch user research methods 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.
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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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As a Data Scientist Director in the ISDA team, you will have the opportunity to work on exciting end-to-end machine learning problems and solutions. Intelligent Systems, Data and Analytics (ISDA) in Corporate Technology (CT) is a centralized global team responsible for leveraging Artificial Intelligence and Machine Learning to maximize the business value of the data consumed and produced by CT and our Corporate Function Partners.
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Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.
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Strong publication record in Natural Language Processing, Machine Learning, Deep Learning or Reinforcement Learning at major conferences or journals 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.
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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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As a Lead Software Engineer at JPMorgan Chase within the Corporate & Investment Bank's Support functions group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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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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In this role, you'll apply your in-depth knowledge of cloud security to all aspects of the Artificial Intelligence/Machine Learning development lifecycle, and partner continuously with your many product stakeholders on a daily basis to stay focused on common goals.
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Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT.
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Cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies such as React/Angular Proficient in Java programming AWS experience.
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Prior experience in driving global enterprise technical sales for a top-tier enterprise applications Experience in helping customers adopt and consume software in a cloud model; Passionate about learning and actively seeks out knowledge Ability to work independently and confidently to develop a path forward with customers under ambiguous circumstances; Strategic and creative thinker who can proactively identify challenges and maintain a positive approach when facing difficult obstacles.
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Cloud, artificial intelligence, machine learning, mobile, In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Strong cloud experience, AWS is preferred Experience with NoSQL Database, Cassandra, MongoDB Experience in Python programing language.
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learning job Company: Jpmorgan Chase in Wailuku, Hawaii
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