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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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Experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Lead modeling and analytical underwriting and credit risk projects using techniques from statistics, machine learning and deep learning.
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In this position you will research, develop, and deliver algorithmic, machine learning, and artificial intelligence based approaches to solve complex sponsor problems. The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters.
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Eligible for a free Nespresso VL machine and coffee as well as product discounts. Listen and Learn: Understand customer needs and recommend personalized coffee and machine solutions, showcasing your knowledge.
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Proficiency with Citrix Virtual Apps and Desktops v7.15 and later, Citrix Provisioning Services (PVS) and Machine Creation Services (MCS), Citrix Cloud Virtual Apps and Desktops (CVAD), Citrix Netscaler / ADC / VPX, Citrix Workspace Environment Management (WEM), Citrix App Layering, Liquidware Profile Unity, and Hyper-V, VMware VDI (Microsoft or Citrix NetScalers / ADCs.
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To enable this, The Aerospace Corporation is focusing on critical technologies such as artificial intelligence, machine learning, photonics, optical communications, additive manufacturing, electric propulsion, as well as new tools in modeling, simulation, cloud computing, and digital engineering.
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Knowledge of Business Intelligence Reporting, Scripting with R and Python, RPA, and Machine Learning. Minimum 2 years’ experience with Robotic Process Automation using software such as UiPath. We need a Back Office Automation Lead to support the Defense Health Agency (DHA) under a contract focused on delivering Test & Evaluation (T&E) services for IT systems and automation processes.
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) + Machine learning using k-NN, naive bayes, decision trees, SVM experience required.
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It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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You Have:5+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutionsExperience with leveraging ML frameworks, such as TesorFlow or PyTorch or developing ML inference pipelines in environments, such as DataBricks or AWS SageMakerExperience with developing in modern front-end technologies, such HTML, CSS, JavaScript and front-end frameworks or libraries, such as React.
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Demonstrated Background working with Defense Intelligence Agency (DIA) Machine- assisted Analytic Rapid-repository system (MARS), Open Mission Systems bridge, and Open-Source Intelligence. Demonstrated Background working with Defense Intelligence Agency (DIA) Machine- assisted Analytic Rapid-repository system (MARS), Open Mission Systems bridge, and Open-Source Intelligence.
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Ensure dishwasher temperature is within the specified range and the chemicals are properly connected to the machine. - Properly clean and disinfect the dish washing machine. Our brand new hotel conveniently located at the Reston Town Center Metrorail Station, the AC Hotel & Residence Inn Reston will open in October 2024 with 267 rooms including a Rooftop Bar and full service restaurant servicing breakfast, full and dinner.
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You will work closely with our Department of Homeland Security (DHS) client, particularly the Transportation Security Administration (TSA), to build and manage data infrastructure that supports AI, machine learning, and automation initiatives aimed at enhancing operations, reducing costs, and improving efficiency.
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Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing. 3+ years of experience with using programming languages to manipulate and analyze data, including Python and SQL.2+ years of experience with machine learning, data cleansing, and statistical analysis.
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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques. Collaborate with data scientists and machine learning engineers to support model development through data preparation and analysis.
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machine job Company: Infor in Fairfax, VA
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