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Coursework in Machine Learning, Image Processing, Applied Mathematics, and/or Data Science, e.g., Reinforcement Learning, Machine Learning (ML), Deep Learning, Image Processing, etc.
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Demonstrated mastery of a broad array machine learning and deep learning approaches across a variety of deep learning architectures, deep learning libraries, and cloud-computing development environments, with an emphasis on ML techniques for studying small molecule drug development (particular attention paid to candidates with deep Graph Neural Network experience.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Knowledge of software and algorithm development, machine-learning algorithm development, or artificial intelligence techniques applied to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas.
$96,400 - $168,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USABASIC QUALIFICATIONS- Ph. D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field.
$170,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Qualifications Bachelor’s degree in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related field, or the equivalent combination of education and related experience.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with IT infrastructure such as database systems, cloud computing (such as Databricks, AWS), and high-performance computing in Linux environments. Broad understanding of modern data science methods, particularly machine learning, in advancing drug discovery (e.g., predictive modeling, generative modeling, retrosynthesis prediction, active learning, explainable ML.
$184,800 - $290,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Google Cloud Professional Machine Learning Engineer certification. The ideal candidate will have a strong background in machine learning, experience with Google Cloud services, and a passion for solving complex problems with AI.
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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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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Applying techniques across one or more machine learning models including: multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge.
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Utilizing intelligent robotic process automation tools (Automation Anywhere, Pega, UiPath, etc.) C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS; Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, Power BI and QlikView.
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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
$101,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning applied mathematics cloud computing jobs Company: Prudential Financial in Anoka, Minnesota
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