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Work closely with React and Enable Squad Team to identify opportunities for automation eliminating manual, mundane activities and improving machine learning capabilities. Experience in SIEM tools like QRadar /QROC and Data Protection technologies like IBM Guardium and Symantec DLP is desired.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding for business intelligence (BI), to predictive analytics, machine learning, and artificial intelligence.
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In the role, you will collaborate with engineers and data professionals to foster the use of data science, advanced analytics, machine learning, and other techniques to amplify solutions in EC’s issue areas.
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Hands-on development experience in one or more of the following areas: Programming in Python, JavaScript, Golang, or Rust Assembly code programming in VHDL Cloud computing platforms such as GCP, AWS, and Azure REST APIs Machine learning techniques.
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As a Site Reliability Engineer (SRE), you will play a vital role in continuously driving improvements in observability, performance, and reliability, aiming to make a substantial impact across the federal government.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. We are looking for a motivated and self organized Machine Learning Engineer who can build and deliver state of the art batch, streaming and real time ML and AI solutions to join the Marketing program to drive powerful experiences for our users.
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Look for a Sr Data Engineer with Adobe Analytics or AEP(Adobe Experience Platform) platform experience. Title: Sr Data Engineer. Configure AEP to get the data set needed and then use spark (AWS glue ) to load data in the data lake.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. As a cyber engineer, you will prevent adversary network threats, identify advanced attack vectors, and thwart methods of exploitation.
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As a Senior QA Automation Engineer, you will perform Quality Assurance and Automation testing for data warehouse implementations, ensuring data accuracy, completeness, and adherence to quality standards.
$111,335 - $155,884 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of machine learning and AI concepts, with the ability to integrate these technologies into data solutions. Microsoft Azure certification(s) (e.g., Azure Data Engineer, Azure Solutions Architect) is a plus.
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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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These are difficult hands-on engineering challenges that integrate biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing that can only be solved with a tight-knit multidisciplinary team.
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World Learning seeks a Business Development Officer (BDO) to provide proposal development support to our portfolio of education, international exchanges, and development programs funded by the U.S. Government (USG) and support pipeline management with data input and analysis.
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As a Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer (RHCE), serve as the Red Hat Enterprise Linux (RHEL) expert for GPO's GovInfo by implementing, administering, and maintaining the GovInfo Linux servers to support day- to-day operations including Red Hat Satellite Server administration and the application of patches and security updates.
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Required :One (1) year of experience as a Transportation Engineer 2, or equivalent such as a Bridge Engineer 2 or Transportation Planning Specialist 2 or equivalent work experience in a closely related field.
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machine learning engineer big data jobs Company: Capgemini Government Solutions Llc in Washington, DC
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