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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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4+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role. We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams.
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Experience with data modeling, machine learning, data mining, statistics, or graph algorithms in academic or professional environments. You’ll build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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At Deloitte, we are creating a world-class Artificial Intelligence and Machine Learning (AI/ML) Center of Excellence to enhance Deloitte’s existing services and empower our clients to gain exponential value from their data.
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We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata development which enables insight generation.
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Certifications and specialization in IT Ops, Infrastructure, APM, Data Engineering, Machine Learning, Data Infrastructure. Master data modeling, develop and optimize queries, tune and scale clusters, prioritizing fast search and analytics at scale.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role will have opportunity to work across Amgens pipeline (early and late) to oversee the development of data review visualization tool, statistical/machine learning algorithms, and analytic pipeline/package/application in R. It provides opportunity to develop leadership skills in clinical development strategy and address scientific questions through practical quantitative thinking.
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Familiarity with working in cloud-based environments like Amazon Web Services (AWS), Google Cloud, or Microsoft Azure and their machine learning tools. Prior experience developing data-intensive full stack containerized web applications using Node.js, Flask, Django, or other technologies.
$150Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies. Experience with conducting research and the implementation of the latest advancements in machine learning to analyze and process large-scale spatio-temporal data.
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The International Monetary Fund has an immediate opening for a Data Management Analyst/Sr. Data Management Analyst (e-learning Developer) to support its online learning program.
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modern data machine learning jobs Company: Wex in Mclean, VA
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