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Contribute to artificial intelligence/machine learning (AI/ML) and data modeling projects. Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong technical background with a deep understanding of data processing frameworks, machine learning algorithms, and AI technologies. Honeywell is hiring a Sr. Technical Product Manager – Data Processing, AI/ML, Forge Platform to sit in Atlanta, GA. We are seeking a highly skilled and motivated Technical Product Manager specializing in Data Processing and AI/ML to join our Forge Platform team.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Expertise in applying statistical, advanced analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems. Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field is high preferred.
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The successful candidate will be responsible for deploying and managing advanced analytics and machine learning models across critical domains, including marketing, supply chain, finance, digital transformation, and food and beverage science.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We do this through technology solutions powered by data, machine learning, and smart automation, that help Amazonians take actions, guide them through processes, and enable them to self-serve, so that they spend less time in product and more time delivering for customers.
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Develop common components to address pain points in machine learning project, like model lifecycle management, feature store and data quality evaluation. Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within Customer’s org.
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Data engineering for large-scale machine learning on Cloud preferably Azure Fabric. Extensive knowledge around various data integration patterns against databases (inbound and outbound) to solve for real-time, and batch workloads.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Machine Learning Software Engineer, you will have the opportunity to tackle significant problems, which comes with developing and delivering global critical enterprise software using your expertise in design, coding, algorithms, and complexity analysis.
$216,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We are looking for a Lead Data Scientist who will be responsible for designing, developing and maintaining cutting-edge Machine Learning Models that will augment many of our product offerings.
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Knowledge of big data, data science, generative AI, machine learning, and common Python libraries. Every team member is passionate about technology, data sciences, and hands-on coding with a focus on impactful results.
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Experience using a variety of machine learning techniques for supervised and unsupervised learning that highlights the real-world advantages/drawbacks, including classification, regression, time series forecasting, clustering, and other use cases.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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The ideal candidate will be responsible for identifying potential use cases for AI and leading efforts to build solutions for these use cases by leveraging machine learning algorithms and AI tools.
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Demonstrated expertise in machine learning, recommendation systems, pattern recognition, data mining, AI, or a related technical field. ● Proficiency in machine learning algorithms such as multi-class classifications, decision trees, support vector machines and deep learning.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Profound expertise in Data science, data engineering, statistics and machine learning technologies. Thorough understanding of predictive modeling and various machine learning algorithms for supervised and unsupervised learning.
$278,320 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago
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