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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (AI), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Strong engineering experience with the following core platforms and services:VMware ESXi and vSphereMicrosoft Windows Server and Deployment and AdministrationMicrosoft Windows 10 Deployment and Administration DNS, DFS, and DHCPActive Directory and defining, implementing, and maintaining Group Policy Microsoft SCCM with Operating System Deployment (OSD)Data center networking fundamentals (experience with software defined data center networks a plus.
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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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Passionate about learning how to build, test, and deploy applications using modern CI workflow automations and PaaS/SaaS or containerized based deployment models. Job#: 2039607 Job Description: Apex Systems is looking for fully remote Secret cleared DevOps Engineer to support one of our clients newly awarded DoD program.
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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 implementing machine learning pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W&B, TFLite, SNIPE, SHAP, UMAP, or ART.
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This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platform. Additional preference for Oracle certifications in any of the following cloud products: Benefits, Compensation, Payroll, Absence Management, Talent Management, Learning or Recruiting Cloud.
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Manage the configuration and deployment of Microsoft Intune, Tanium, and Jamf for endpoint devices. As the Endpoint/MDM Engineer, you will play a key role in managing and securing all endpoints and mobile devices across the BCG Federal organization in a Microsoft GCC High environment.
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HQ-ed in McLean, VA and with a presence in New York, London, and Singapore, Pixalate is experiencing remarkable growth and looking to bring a Machine Learning Engineer onboard. As a Machine Learning Engineer, you will be responsible for designing and implementing Generative AI systems (LLMs/NLPs.
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Experience with deployment, configuration, and management of diverse number of security solutions and platforms such as DLP, CASB, SIEM, EDR, Firewalls, IDS/IPS, or MDM. As a Sr. Cybersecurity Engineer, you will be an integral part of NVR’s Cybersecurity Engineering and Red Team responsible for the cybersecurity of a large enterprise network.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. devops, java, maven, programming, senior software engineer.
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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.
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Manage a team of engineers in the deployment, integration, and configuration of Symantec DLP solution to protect sensitive data for high value assets and major infrastructure investments. Data Loss Prevention Engineer.
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The Assistant Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures. An Assistant Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members.
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Ability to perform the complete system life cycle using Agile Engineering and Scrum Methodology preferably in JIRA.Hands-on experience that demonstrates competence in developing scripts to automate configuration, installation, and support deployment activities and exposure to CI/CD utilizing DevOps/Agile SDLC using with GIT, SVN, Maven, Jenkins, Selenium, Ansible or Chef. Exposure to collaboration tools such as SharePoint, Confluence and Jira is preferred.
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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deployment engineer machine learning jobs Company: Clearancejobs in Mclean, VA
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