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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) This Expert brings significant experience in crafting, developing, training, and delivering machine translation data sets, training models, and machine learning algorithms.
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Prior exposure to validation or development of BSA/AML models, Fair Lending models, or Artificial Intelligence and/or Machine Learning models within a Financial Institution. Has advanced understanding, and can apply knowledge of, complex mathematical techniques (but not limited to): statistical outlier methods, logistic regression, natural language processing (NLP), and various machine learning methods (e.g., random forest, XGBoost, etc.
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Continuously follow the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies.
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GovCIO is currently hiring for telecommunications engineer to provide deployment support to our federal customer. Cisco IP audio and video enpoints, Unified Call Manager (CUCM), Expressway Meeting Server (CMS), Meeting Management (CMM), Telepresence Management Suite (TMS), Prime, and Identify Services Engine.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is at the heart of our customer support, and we are looking for a senior modeler to build high-quality conversational support experiences.
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Own and lead the end-to-end machine learning experimentation process, including prioritization of projects, data strategy formulation, architectural design, and model training to drive innovative solutions and business impact.
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Help design and implement our machine learning operations infrastructure that enables us to iterate, improve and streamlines production deployment. Working closely with our data engineering team, you'll design an implement an enterprise-grade machine learning infrastructure focused on credit risk modeling and fraud detection based on blockchain data.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs.
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Swift's technology is trusted by users across industries, enabling safer driving, improving efficiency for last-mile delivery and commercial transport operations, increasing accuracy for mobile devices and creating new possibilities for rail, robotics and machine control.
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Learning and Development resources. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy.
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Our curriculum guides K-5th grade campers to design and build impressive, STEAM-based projects such as a working handheld vacuum, a sturdy pinball machine or a sit-on rocking pet — all made from everyday materials like cardboard, paper cups, and craft foam.
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The heart of insitro's strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical and cellular datasets that address key shortcomings in the target discovery and drug development process.
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deployment machine learning artificial jobs Company: Jpmorgan Chase Co in San Francisco, CA
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