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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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The team members will implement statistical, machine learning, and quantitative financial models, applied to a combination of proprietary, public, and third-party data, to deliver analytics for multi-asset portfolios including alternative assets such as hedge fund, private equity, private credit, real estate, and digital assets.
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A working knowledge of data governance frameworks, best practices and how they are effectively supported by good products, in particular Data Lineage but also data quality, metadata management, data privacy, data use and records retention •Interested in and familiar with core areas in applied machine learning such, computer vision, and personalization.
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Degree in Data Science, Computer Science, Engineering, or a related field, with a specialization in Artificial Intelligence, Machine Learning, and Analytics. Preferred experience with natural language processing (NLP), computer vision, and deep learning techniques.
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A Master's or Ph. D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience. In this role, you will have the opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems.
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Knowledge of Cloud (AWS) computing and architecture, Big Data management technologies, and Machine Learning platform tools. Knowledge of the Machine Learning workflow, spanning from annotation, model training, model serving, scoring, pre/post processing and feedback capture.
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Duties: The Assistant Vice President (Multiple Positions) at EXLService.com, LLC in New York, NY will develop and execute Artificial Intelligence and Machine Learning Models, statistical analysis, and different data analysis methodologies to identify trends in large data sets.
$104,603 - $163,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are an all-scientist team of biologists, chemists, and machine learning experts that believe targeted extrahepatic delivery is the only thing preventing RNA therapies from becoming the standard-of-care for most chronic diseases.
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Capability to leverage techniques in statistical analysis, machine learning, and predictive modeling is an advantage. The Data and Analytics Vice President at Accordion plays a crucial role with our clients in steering an organization's analytics strategy, driving data-driven decision-making, and leading analytics projects from conceptualization to implementation.
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As a Computational Linguist in the Machine Learning & Optimization team, you are an integral part of the group that optimizes features, models and AI capabilities for the Chase Digital Assistant and other conversational AI products.
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They are leveraging a cutting-edge machine learning (ML) platform to revolutionize drug discovery and treatment options for metabolic disorders. They are seeking a Vice President of Research and Development to lead R&D efforts.
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Collaborate with various stakeholders, including business users, data scientists, Machine Learning engineers, data governance teams, and technology teams, to understand requirements and develop appropriate solutions.
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We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. Ideal candidates should be local to the desired location, with the flexibility to work remotely 2-3 days a week, blending the best of both worlds for efficiency and collaboration.
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The AI Labs was formed to act as a central hub with a firm-wide remit to seek strategic business challenges for the firm by bringing to bear our expertise in machine learning, artificial intelligence, data science and optimization.
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machine learning jobs Title: vice president in New York, Columbia, Missouri
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