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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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Job Summary: As a Director, Software Engineering you will be responsible for leading a group of engineering managers and their respective engineering squads within the Identity Engineering organization.
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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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Monitor existing and proposed regulations affecting international trade, including artificial intelligence / machine learning and cloud regulations which impact import / export control regulations.
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Mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. How you will fulfill your potential: Develop software and analytics to progress Corporate Treasury’s mandates: interest rate pricing & risk management, trade execution, funding optimization & liquidity risk management and cash & collateral management Optimize the firm’s liability stack by developing balance sheet analytics and hedging strategies Actively engage with Corporate Treasury Trading, supporting valuation and risk/P&L reporting.
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As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, their people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.
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We are seeking a talented and motivated machine learning engineer to join the team leveraging extensive clinical data resources to develop, validate, and deploy cutting-edge ML technology.
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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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Knowledge of advanced control systems topics including data management, artificial intelligence, machine learning, cybersecurity, network architecture. Participate in the planning and specification of applied technology solutions including instrumentation and control, advanced automation and control, artificial intelligence, Operational Technology (OT) networking, data management & analytics, augmented reality, and vision control.
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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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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Come join Kohler Ventures as Sr. Software Engineer/Architect, as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships.
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Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.
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Deep knowledge in Machine Learning, Deep Learning, Data Mining, Information Retrieval, Statistics. 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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machine learning artificial intelligence software engineering jobs Title: data engineer in New York, Fernley, Nevada
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