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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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No Visa Sponsorship is available for this position.
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Broad scientific knowledge in electrical engineering or computer science is required, and expertise in artificial intelligence and machine learning is strongly preferred. Must be eligible to sit for the USPTO registration exam and otherwise meet the requirements for registration as a patent agent.
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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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Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS) Basic understanding of artificial intelligence/machine learning concepts. We invite you to bring your experience and passion for the sciences community supporting NASA, NOAA, EPA, and Census Bureau.
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Incorporate principles of Lean Systems Engineering, Cloud Architectures, DevOps, DevSecOps, Continuous Integration/Continuous Delivery, and other modern software development approaches as well as support all scrum ceremonies.
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Experience in Machine Learning libraries (e.g., TensorFlow or PyTorch). 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
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AWS Certified Solutions Architect Professional or AWS Certified DevOps Engineer Professional. Familiarity with DevOps pipeline tools (e.g., JIRA for configuration management, requirements handling, automated testing, and deployment.
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Welding standards and specification experience (ASME, AWS, API, ISO, CEN, JIS. Bachelors' degree in engineeringWhat Desired Skills You'll Bring:Finite element analysis experience. In addition, the Piping Stress engineer will ensure adequate input and technical guidance to CAD designers and drafters as well as other engineers and vendors working on the same deliverables to promote technical excellence.
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DevOps and DevSecOps. You will contribute to the operationalization of a prototype system for a scalable NextGen space resiliency / flight safety program. Orchestration Software/Tools (Kubernetes, Docker or OpenShift.
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AWS Certied Solutions Architect Professional or AWS Certied DevOps Engineer Professional. Experience with migration of applications from AWS Commercial Cloud to FedRamp Approved Gov Cloud.
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Experience developing and testing machine learning, deep learning, or computer vision models. Cloud services (AWS, GCP, Azure) We need experienced Software Developers/ Data Scientists to work on all stages of the data science pipeline, to include applying existing machine learning software across large hyper-parameter trade spaces, developing new machine learning algorithms and evaluating the best the commercial AI/ML industry has to offer to our problem set.
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Excellent communication skills, both written and verbal, with the ability to convey complex security concepts to technical and non-technical stakeholdersOne or more relevant certifications such as CKA, CKAD, CKS, or AWS Solution Architect Associate, with Kubernetes certifications highly preferred.
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TS/SCI with Poly Required - BS Degree (Technical) Basic Requirements: Experience with Web UI/UX design and development Ability to create and integrate with APIs Solutions Architect Associate certification or other Associate certification (In Progress acceptable) Preferred Qualifications: Basic understanding of Machine Learning pipelines Familiarity with data stores or databases Experience working with software development projects with low to high deployments.
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4+ years of recent experience with building and deploying applications in AWS (S3, Hive, Glue, AWS Batch, Dynamo DB, Redshift, Cloudwatch, RDS, Lambda, SNS, SWS etc.) Familiarity with Hadoop / Spark information architecture, Data Modeling, Machine Learning (ML.
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machine aws devops jobs Title: devops Company: Pri in Herndon, VA
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