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Master's degree or equivalent experience in Computer Science, Artificial Intelligence, or a related field. Hands on experience with GCP AI services including Vertex AI, BigQuery ML, Cloud AutoML, and TensorFlow.
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Strong background in artificial intelligence and machine learning, including experience with deep learning frameworks like TensorFlow or PyTorch, for evaluating advanced document processing algorithms and models.
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Familiarity with Artificial Intelligence/ Machine Learning, Robotics Process Automation and Blockchain and their impact on the regulatory environment. Transaction tax engine experience (e.g., Vertex, Thomson Reuters, Avalara.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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To build a world-class research program for AI- and data-driven innovation in human health, the AI Department is seeking five (5) outstanding candidates for early-career faculty positions at Instructor level with an excellent track record in artificial intelligence, and machine learning to join its faculty as a Eric and Wendy Schmidt AI in Human Health Fellow in 2024.
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We are seeking to recruit a full stack software developer for the Institute and with a special focus on our Artificial Intelligence (AI) Hub. The AI Hub at McSilver has been established to investigate how artificial intelligence-driven systems can be used to equitably address poverty and challenges relating to race and public health, and to provide thought leadership on the implications.
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Strong publication record in top-tier machine learning, artificial intelligence, or computer vision academic journals. We are seeking a Senior Data Scientist to lead advanced research initiatives in the field of artificial intelligence (AI.
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Collaborate with stakeholders, executives, and LOB partners to complete assessments, develop cybersecurity maturity recommendations across cybersecurity domains (governance & risk management, strategy and program management, vulnerability management, threat intelligence, security monitoring, network protection, identity and access management, business continuity / disaster recovery, incident response, security architecture, and cloud security.
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Business Analysis, Business Process Re-engineering, E2E Solution Design / Component or System Design / Solution Architecture , in Telecom OSS / BSS domain is required. relevant for the Telecommunications domain (for e.g. eTOM, SID, TAM, ITIL, ODA.
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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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At least 4 years of domain expertise with Data Loss Prevention, Identity and Access Management, Security Information and Event Management, or Network Security. Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), AWS Solutions Architect - Associate or Professional, or CompTIA Network+ certification.
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Manage internal (Mindshare) and external client relationships to guide the Business Intelligence engagements. Data Visualization – DOMO, Tableau Web Analytics – Google Analytics, Adobe Analytics AdServers – Sizmek Syndicated Measurement: Nielsen, comScore Ad Effectiveness Research: Kantar Millward Brown, Upwave, Lucid, Dynata.
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We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.
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As a Business Intelligence Manager, you will oversee the design, implementation, and improvement of our BW/BI platform. The Business Intelligence Manager defines the enterprise reporting needs and supports business decision-making, through partnership with business stakeholders.
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candid domain artificial intelligence jobs in New York, NY
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