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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA.
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Keywords: DevSecOps, Cloud, Azure, AWS, GCP, Oracle, Oracle Cloud, DevOps Engineer, Cloud Engineer, Engineer, GitHub, Gitlab, Clearance, Secret, Secret Clearance, TS/SCI, Top-Secret Clearance, Bachelors, Engineering, CI/CD, Ft. Belvoir, Information Technology, restoration, concepts, Contract, DoD, Government, Kubernetes, GCP, Terraform, Configuration-as-code, Infrastructure-as-code, Sec.
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Machine Learning Engineer. · Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Direct experience with multiple of the following and a desire to learn the others:Database setup and integration, both relational and NoSQL (Oracle DB, MySQL, CouchDB)DevOps automation tools (Ansible, Chef, Puppet)Source control and Agile development tools (Git, Maven, Jenkins, Bitbucket, Jira, Confluence)Analytics and search engines (Elasticsearch, Splunk, Apache Solr.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Electrical, electronic engineering, javascript, machine learning, malware, optical, software. Precise Systems is seeking an Electronic Engineer to join our team at the Naval Surface Warfare Center in Crane, IN. The Electronic Engineer will be a Counter small Unmanned Aerial Systems (C-sUAS) Electromagnetic Warfare (EW) Subject Matter Expert (SME.
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Experience in one or more areas of quantum computing such as algorithm development, quantum error correction, NISQ/hybrid quantum algorithms, quantum machine learning, or quantum error mitigation.
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The role requires both broad and deep architecture, engineering and strategic experience with Microsoft Azure or comparable cloud technologies; specifically, deep technical expertise in cloud-native software defined networking, cloud security, cloud platforms, SRE practices, and Azure Infrastructure as Code modules; Azure Data services, Azure DevOps Repos and Pipelines; Azure Platform as a Service (PaaS); Azure Infrastructure as a Service (IaaS) and supporting technologies.
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Meet or exceed quarterly new business sales targets, focusing on closing opportunities related to core service offerings at Lovelytics, such as machine learning, business intelligence, and data engineering.
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The Cloud Engineer will work as part of a team to design, implement, and maintain enclaves' virtual infrastructure in both AWS and Azure Cloud. (e.g. CAP, GSLC, CISM, CISSP, CASP) AWS Cloud Practitioner.
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At AWS, we're hiring experienced Machine Learning Engineers with a background in NLP, generative AI, and document processing to help our customers understand, plan, and implement best practices around leveraging these technologies within their AWS cloud environments.
$204,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Space Ground System Solutions, a Parsons company, has an immediate full-time opening for a DevOps Engineer in Alexandria, VA. The position will support the infrastructure team of the Virtual Mission Operations Center (VMOC) software.
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Machine Learning Software Engineer. Efficient sof tware development and machine learning ( ML ) teams make the most of their time by limiting the activities that take developers away from writing their code.
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Familiarity with emerging technologies such as AI, machine learning, and IoT as they relate to IT infrastructure. Knowledge, Skills & Abilities Experience designing, implementing, and supporting applications in Amazon Web Services (AWS) cloud, including traditional server applications and serverless services such as AWS Lambda, AWS Fargate, AWS SQS, and Amazon API Gateway.
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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.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning aws devops jobs Title: devops engineer in Springfield, VA
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