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Working Knowledge of SaaS: Experience utilizing Software as a Service (SaaS) platforms for data analytics, machine learning model deployment, and data management, with a focus on leveraging cloud-based tools to streamline workflows and enhance data processing efficiency.
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Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
$128,000 - $136,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Intelligent Foundations and Experiences (IFX) organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capital One as an enterprise.
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Participants in the Technology Track will also learn about cutting-edge technology, including, but not limited to, artificial intelligence, machine learning, algorithmic trade engines, pricing models, digital banking, advisory services, and cloud computing.
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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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Enterprise IT customer service experience providing user support to include providing technical support/resolutions and direction on non-technical aspects of the software use at SSA. Possess the ability to drive insights into actions that improve the teams service delivery or user experience.
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6 months plus experience developing in a cloud native machine learning service such as Google Cloud Vertex AI or AWS SageMaker. Firm grasp of mathematics that power machine learning models, including Statistics, Probability, Linear Algebra, Calculus.
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The Johns Hopkins Data Science and AI Institute (DSAI) is a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space.
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Owning thorough statistical knowledge with preference given to experience with time-series forecasting and machine learning; Demonstrating experience with API or rest service integrations, advanced SQL (common table expressions, use of temp tables, indexing), and other technical methods to extract and combine data from various sources.
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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FEP Local systems provides Machine Learning service to FEP BCBS plans to improve claim processing, provider prediction, and automation that reducing human intervention process. Explore, promote, and implement semantic data capabilities through Natural Language Processing, text analysis and Machine Learning techniques.
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This role is dedicated to enhancing IT operational efficiency, service delivery, and reliability through the strategic deployment of Robotic Process Automation (RPA), Artificial Intelligence (AI), machine learning, and related technologies.
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Using a combination of machine learning, tailor-trained fit specialists, and industry-leading customer service, The Black Tux guarantees a perfect fit every time. Being the face of The Black Tux in Nordstrom , you will have an immediate and direct impact on the success of our business.
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