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Utilizing NVDA (NVIDIA) technologies such as CUDA, TensorRT, and GPU acceleration to optimize machine learning models and enhance the overall performance of applications. Additionally, expertise in NVDA (NVIDIA) technologies such as CUDA, TensorRT, and GPU acceleration will be crucial in optimizing our machine learning models and enhancing the overall performance of our applications.
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You'll be a key member of our engineering team, writing software, delivering new cloud infrastructure, and automating CI/CD processes in a fast-paced, agile environment using modern technologies, including GitHub Actions, Terraform, Kubernetes, Azure/AWS, ArgoCD, and Grafana.
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Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients.
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As a DevOps and Infrastructure Engineer at Anduril you will be architecting and building out tooling to scale the development of user interface applications on a variety of platforms (e.g., Windows, Linux, Android, Web), improve developer experience, and facilitate deployment of reliable software.
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Experience or interest in data science, machine learning, artificial intelligence, wireless communications, sensors, semiconductors, Internet of Things, Ior related fields. Receive training and development that could lead to becoming a licensed patent agent by the United States Patent and Trademark Office (USPTO.
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4-7 years of experience in development, operations, and infrastructure, with a current or most recent role as a Site Reliability Engineer, DevOps Engineer, or an equivalent position for at least 2-3 years.
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Must required Core Java, Typescript, Microservices, Rest API, scripting, AWS (specially lambda, code pipeline, Api gateway, cloud watch, Dynamodb, AWS Cli ), Docker, Kubernetes Good to have Quarkus, GRAAL VM, Java 17, Mockito, Openshift (PAAS), podman.
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Experience working with containers, and managed container orchestrators (Kubernetes/OpenShift) in the cloud (For example AWS Elastic Kubernetes Service, Red Hat OpenShift) AWS Certified Solutions Architect - Associate.
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Demonstrated technical expertise and acumen of over 10 years or more in one or more specialty fields (Systems - HW/OS, Storage, Security, Networking - L2/L3, Cloud (AWS / Azure / GCP) Technical security certifications are not required but considered an asset, such as CISSP, GCIH, GCIA, GCFA, GPEN, GCFE, CCNA, CCNP.
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The ideal candidate must have a working knowledge of federal, state, and local laws and regulations affecting the delivery of school health services, normal and abnormal child development, and educational principles and approaches pertinent to children with various intellectual and learning disabilities, special needs preschool children, and principles of nursing.
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With expertise in Software as a Service (SaaS), Artificial Intelligence (AI), Robotic Process Automation (RPA), BlockChain, Distributed Ledger, and Cloud services like AWS, Azure, Oracle, and Google, we pride ourselves on delivering tailored and enduring solutions.
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Familiarity with AI, machine learning, and data analytics is a plus. The ideal candidate will have extensive experience leading enterprise migrations using a combination of Oracle technologies (such as Oracle E-Business Suite, Fusion, Oracle Financials Cloud, Oracle Field Services, OCI, OIC, and databases) as well as cloud-based technologies like Microsoft Azure and Amazon Web Services (AWS.
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International Student Center is seeking a highly energetic, Glicensed School Nurse (RN-LPN). Salary Schedules: Title: Nurse, School (RN & LPN) Provide essential healthcare services to students, including direct care, emergency assistance, medication administration, and health education, to foster a climate of health and well-being within the school setting.
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Experience working with an on-demand, cloud computing platform like AWS or GCP. Maintain comprehensive subject matter expertise in AWS (i.e. containerized, event-driven integrations, cloud-native serverless architecture), including a deep knowledge of applicable tools, languages like Python and/or Go, frameworks, development best practices (e.g. client/server-server communication paradigms, observability, testing, networking, dependency management/injection, orchestration.
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Experience of data mining principles: predictive analytics, machine learning, mapping, collecting data from multiple data systems on premises and cloud-based data sources. Stay abreast of the latest trends and advancements in data science, machine learning, and cloud technologies, and apply this knowledge to drive innovation within the organization.
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machine learning aws devops jobs Title: devops engineer Company: Pri in Atlanta, GA
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