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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.
$136,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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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! Bonus points for candidates who are well versed in IaC and have working experience with Terraform HCL directives and modular interpolations and/or Azure Resource Manager ARM/Bicep/DevOps Pipelines and/or obtained Microsoft Azure Certifications in Administration, Development and/or Azure DevOps. #clearance #clearedEEO EmployerApex Systems is an equal opportunity employer.
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Microsoft Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert or Azure Developer Associate. Seeking Azure DevOps Engineer with experience working with cloud platforms and has a passion for automation and developing DevOps best practices.
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Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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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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Java, CSS, AWS, amazon web services, cloud, cloud services, docker, containerization, container, jenkins, Kubernetes, azure, JIRA, DevOps, Cloud Engineer, Create solutions that support innovation initiatives in data analysis, process optimization, machine learning, and other software and systems that further the client's goals by collaborating with cutting-edge and new technologies.
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Experience with Docker, AWS Admin Red Hat/OpenShift v4. The ideal candidate will have a strong background in application development but also possess expertise in implementing and managing DevOps processes, including containerized development, CICD pipeline deployment, API gateways, Infrastructure as Code, platform familiarity, and knowledge of tools like Golang.
$130,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Dark Wolf Solutions is looking for a Senior Data Engineer to work near a Dark Wolf office in Herndon, VA with hybrid flexibility and presence at our site location in Fall Church, VA. The ideal candidate will have a strong background in computer science, experience working in Agile environments, and a deep understanding of DevOps practices.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - 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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Lead AWS Cloud Engineer. Mature and engineer improvements to the cloud. Level II Baseline Certification (e.g. CCNA Security, CySA+, GICSP, GSEC, Our team will manage the commercial cloud migration and disestablishment of VSD and CIS, fully automate the continuous development & continuous integration environment, fourth estate consolidation, professionalize services – ITIL/DevSecOps based processes, improve the customer experience 1st call resolution, and achieve development of a service catalog for Defense Working Capital Fund (DWCF) Model.
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Collect and analyze data using statistical and Artificial Intelligence /machine learning algorithmsSupervise and assist undergraduate students working on research projects and act as a liaison/mediator between undergraduate students and the faculty researcher.
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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
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You'll have the opportunity to work with a modern tech stack, including Python, Django, React, TypeScript, Kafka, Terraform, Docker, Kubernetes, and AWS serverless technologies. 30% Platform Engineering (Kafka, Terraform, Docker, Kubernetes, AWS.
$150,000 - $180,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least one major cloud service provider (CSP): AWS, Azure, Google Cloud Platform (GCP) ALTA IT is looking for a Radiant Logic Implementation Lead Engineer to join our as a key member of our Department of Defense (DoD) Identity Credentialing and Access Management(ICAM) team.
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machine learning aws devops jobs Title: devops engineer Company: Pri in Springfield, VA
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