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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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The Neurodevelopmental Disorders Prevention Center and the Perinatal Institute at Cincinnati Children’s Hospital Medical Center (CCHMC) are seeking to hire a highly motivated and well-trained neuroimaging and computational neuroscientist with skills in multimodal image acquisition/processing, computational modelling, machine learning, and/or multimodal data mapping.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Work experience with machine learning, deep learning, and reinforcement learning. A background in machine learning techniques with large amounts of noisy data, and curiosity in applying it to complex problems.
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Previous experience in a technical role such as a data scientist, solutions architect, machine learning engineer, AI consultant, etc. As the Program Manager, you will own the direction of program initiatives and work with both the technical and business development teams on the execution and delivery of AI and machine learning (ML) projects.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using a Premium Audit selection model, the team can predict the likelihood of policy misclassification, automatically assign audit methods to save carriers time and money, and use machine learning to continuously improve correlation and prediction accuracy.
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As part of our finance team, you'll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.
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These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning.
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Desired background and/or expertise includes data mining, statistics, machine learning, computer programming, artificial intelligence, and mathematics. The research participant will gain educational and professional benefits through involvement in a statistical modeling project focusing on machine learning (ML) approaches appropriate for characterizing the likelihood of lead service line presence in community neighborhoods and homes.
$86,279 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Machine/deep learning frameworks (TensorFlow, Keras, etc. Experience in machine learning or deep learning. Responsibilities Design and develop image quantification applications using advanced techniques such as artificial intelligence and deep learning; integrate these applications into Medpace's image management system.
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A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We've received recognition as a global Best Places to Work and a recipient of many prestigious awards for diversity, equity, and inclusion, including a DiversityInc® Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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The ideal candidate will have a strong background in machine learning, data science, and cloud computing, with specific experience in deploying and managing models using AWS SageMaker. Key Responsibilities:Design, develop, and deploy machine learning models using AWS SageMaker.
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Working in your own office, surrounded by thousands of high-caliber developers, you’ll use modern development methodologies and employ user-centered design, analytics, and machine learning tools to drive innovation in healthcare.
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Background in predictive modeling, machine learning, and/or programming is beneficial. Develops predictive models using advanced statistical and machine learning techniques and communicates modeling results to business unit management.
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machine learning jobs in Erlanger, KY
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