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Solutions Architecture certification, such as AWS CSA or Azure Solutions Architect), Cloud Machine Learning certification, such as AWS Machine Learning, Azure Data Scientist Associate, or Databricks Certified Machine Learning Professional.
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Cloud, DevOps, Open Source technologies (AWS, VMware, Docker, NiFi, Kibana, Grafana, CDK – AWS Cloud Development Kit, Terraform) NextGen software engineers will be developing and modernizing NGA systems using industry best practices, standards and agile development processes; utilizing open source software solutions, cutting-edge technologies, with DevOps tools and techniques with development on unclassified networks and then promoted to other networks.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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This position requires excellent interpersonal skills, AWS skills, DevOps skills, technical leadership skills, process improvement skills as well as Teamcenter PLM installation, administration, and upgrade skills.
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C#, developer, devops, sdet, software engineer, software programmer. · Cloud technologies: Containers (Docker/Podman), Public cloud (GCP/AWS), Microservices. c#, developer, devops, sdet, software engineer, software programmer.
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Variety of Company Sponsored Events Position Summary: As a Machine Learning Engineer, you'll deliver simple solutions to complex. Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? Experience with data modeling, machine learning, data mining, statistics, or graph algorithms in academic or professional environments.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Knowledge and hands-on experience with DevOps tool chain such as Git, Jenkins, Nexus, Docker, Kubernetes, Harness etc. Intimately familiar with Azure and AWS cloud technologies. Ability to operate and drive projects and results in a DevOps model collaborating with both Operations and Development to streamline the integration and deployment process.
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Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing. Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
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As a business development manager for AWS GovCloud (US), you will have exciting opportunities to grow and expand the AWS GovCloud (US) customer and partner-base across US Department of Defense (DoD) and National Security.
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This role will focus on leading the automation and components (Solr, HBase) set up and improvement for Cloudera CDP public cloud and integrate with other AWS services. Ansible, Terraform, Bit Bucket) and experience working cloud solutions (specifically data products on AWS) are necessary.
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Experience in the use of Microsoft PowerPoint, Adobe Illustrator CS, Captivate, Storyline, Photoshop CS, InDesign, Premiere, Audition, Macromedia Flash, Visual Basic, 3D Studio Max, Learning Management Systems such as Blackboard or Moodle, preferred.
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That's why we need you, a Machine Learning (ML) Cloud and DevOps engineer, to help us shorten the time it takes to get critical tools developed and into the hands of our Agile developers creating AI products.
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At least 8 years of organizational learning, facilitation and training experience working on complex international development programs, preferably in the sectors of agriculture, environment and/or food security.
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Candidate will provide day-to-day management and oversight of DOT service delivery in areas such as SaaS/PaaS Implementation (notably Salesforce), Application/Software Development, Data Analytics and Visualization, Cloud Enablement, DevOps, Agile Transformation, Digital Modernization and Cybersecurity.
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machine learning aws devops jobs Title: devops Company: Pri in Falls Church, VA
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