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3+ years professional experience in technology research in the emerging technology space or a related position (related investment banking, equity research, consulting, or journalism experience), preferably in artificial intelligence, quantum computing, blockchain, AR/VR, or other deeptech areas.
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Evaluate and implement technologies incorporating machine learning, artificial intelligence, and music recognition technologies to further SME's content protection strategies.
$75,000 - $83,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What you bring to the table: 3+ years professional experience in technology research in the emerging technology space or a related position (related investment banking, equity research, consulting, or journalism experience), preferably in artificial intelligence, quantum computing, blockchain, AR/VR, or other deeptech areas.
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2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.) Conduct research on cutting edge technologies in AI/BI/ML/NLP, alternative data, FinTech, high performance computing (e.g. GPU, quantum computing) to discover the potential opportunities to the business applications.
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As a Quantum Computing Research Scientist Vice President within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will have the opportunity to advance the theoretical understanding of quantum algorithms for optimization, stochastic modelling, numerical analysis, machine learning and financial use cases.
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Our teams integrate the disciplines of strategic communications, investment banking, management consulting, corporate governance, risk, and government affairs to solve the most complex business and reputational challenges.
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Bachelors or Master's degree in Data Analytics, machine learning, Computer science, artificial intelligence, statistics, data science or related discipline. Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Demonstrate knowledge of technologies that support collaboration, automation and data-driven story-telling including:Microsoft Products (Teams, PowerBI, MS Office), G-Suite (Google), and business intelligence tools.
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Through the WSS curriculum and faculty, students will be introduced to the powerful impact that mathematical prowess can have in solving complex challenges in a wide range of disciplines, including physics, biology, genetics, computer science, neuroscience, robotics, artificial intelligence, among others.
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Ability to solve complex business problems and apply machine learning to optimize critical business metrics. 4- 8 years of experience as machine learning engineer/data scientist.
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Enjoy accelerated learning and growth working with a world-class team from top tech companies (e.g. Uber, Airbnb, Google, Amazon), business schools (e.g. HBS, GSB, Wharton), and professional services (e.g. Bain, BCG, Goldman.
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Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment.
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Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America, operating globally for over 100 years.
$135,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience in delivering Machine Learning & Artificial Intelligence use cases for Banking/ Finance industry, a plus. As a solution architect avoid scope creep while at the same time allowing technical changes that are essential to meeting the business success criteria.
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The team is focused on the FIS Fintel (Financial Intelligence) Product suite, spanning Fraud (Card, DDA, Transaction, etc.) By creating an open, next-generation fintech platform, FIS expands its solution offerings that can be embedded in any application that supports our clients' financial services processes - from payments to banking to wealth to capital markets.
$120,840 - $203,010 a yearFull-timeExpandApply NowActive JobUpdated Today
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