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Data Science | Machine Learning | Statistics | Mathematics | Biomechanics | Bioengineering | Athletics | Sports | Python | Artificial Intelligence | Computer Vision | Imaging | Images | Video | Stakeholder Management | Technical Leadership.
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Ph. D. or Master’s degree in Computer Science, Electrical Engineering, Statistics, or a related field with a focus on machine learning or artificial intelligence. Ph. D. or Master’s degree in AI, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on big data or artificial intelligence.
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Your mission is to harness data and apply advanced technologies such as machine learning, computer vision, generative AI, predictive analytics, and data visualization. Mastery of algorithms, methodologies, and tools across various AI fields, including machine learning, computer vision, NLP, and generative AI.
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
$183,854 - $289,990 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You act as the key scientific and technical Artificial Intelligence expert for Clinical Data Sciences; defines and drives the data monitoring and management strategy and standards in the AI space, utilizing techniques such as RPA, Natural Language Processing, Machine Learning, genAI, etc., across all areas of Clinical Data Sciences (CDS) (including data management, Risk-Based Monitoring, Data Surveillance and standards.
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AI technologies (Machine Learning, Deep Learning, Natural Language Processing); Artificial Intelligence and Robotics, Analytics, Computer and Information Science, Computer Applications, Computer Engineering, Computer Management, Statistics, Software App, Management Information Systems, Information CyberSecurity, Information Technology.
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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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A graduate degree (Masters/PhD) in computer science, computer engineering, electrical engineering, mechanical engineering, aerospace engineering, or similar technical discipline with an emphasis on artificial intelligence and machine learning.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. The Senior Director, Model Validation for Santander US Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR11-07 and other regulatory requirements around Compliance models.
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You will join the Threat Intelligence squad to ship and improve new and existing features, working on a variety of extraction and detection projects, most closely associated with NER but touching all fields of NLP, and tailored to the cybersecurity field.
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The Quantitative Finance Manager (QFM) will play a key role in developing and overseeing the execution of Corporate Audit’s enterprise-wide coverage of Artificial Intelligence and Machine Learning (‘AI’) models.
$198,000 - $294,900 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You will be at the center of a fast-growing high-tech startup using the latest in Cloud technology, AI (Artificial Intelligence) and machine learning • Gather and incorporate customer feedback into training materials to continually improve the customer learning experience.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Keyway is a Series A stage PropTech company, focused on providing digital solutions to real estate professionals, leveraging artificial intelligence and machine learning. We are backed by Canvas Ventures, Montage Ventures, FJ Labs & Crosscut, four venture capital firms that have invested in other successful companies like Alibaba, Opendoor, Palantir, Stripe, Uber, and Upwork (among others.
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Work Experience: 10+ years in Model Development and/or Validation of, Compliance, transaction monitoring, Below the Line testing, and Risk Management function at an investment bank or hedge fund. 8+ years of quantitative experience in model development or independent validation of Compliance systems , transaction monitoring and Sanction screening models.
$225,000 - $330,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
machine learning artificial intelligence jobs Company: Jpmorgan Chase in New York, Fernley, Nevada
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