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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. As a DevOps Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Part of MITRE Labs’ Infrastructure and Networking Innovation Center, we research, develop, and employ advanced technologies in the areas of network modeling and simulation, dynamic network analysis, machine learning, cellular networking, software defined networking, programmable data plane, operational technology systems, future network science, and more.
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San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer; $291,100 - $332,300 for Distinguished Machine Learning Engineer.
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Artificial Intelligence (AI)/Machine Learning to assess the performance of software which shall enable autonomous vehicle and control elements, perception, cognition, and action of system controls within an existing prototype.
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Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include-but is not limited to-data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
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Required with AWS/Cloud development/computing and OpenCV experience. Familiarity with data science including analysis and reduction techniques, numerical algorithms, control systems, big data, and deep learning concepts.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Certifications - e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect, AWS Certified Developer are a plus. + AWS understanding of services such as ECS, EC2, S3, Lambda, Step Functions, Glue, CloudFormation, and CDK.
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2-4 years of experience in AWS as a Cloud Security Architect/Engineer and must be certified in at least one of the cloud technologies/infrastructures. The Cloud Security Architect (CSA) will leverage broad technical knowledge of cloud security best practices of key public cloud offerings of providers such AWS, Azure, and GCP to establish secure design patterns, to architect integrations among cloud and/or on-premises infrastructures.
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We are a recognized leader in personnel security and vetting solutions, Agile, DevOps, DevSecOps , data analytics, and cloud solutions. Relevant certifications: Security+ CE and one or more of the following: CISSP, CISM, or CEH. Experience in Agile and DevSecOps methodologies and project management.
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One or more Cloud Service Providers Security Specialty Certifications such as AWS Security Specialty or Azure AZ-500 Certification. 4+ Years of experience in Cyber Security field as an Information Security Architect or Cloud Security Architect.
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3+ years of experience with Docker, Elasticsearch, Lucene, AWS cloud technologies, Apache Spark, and Hadoop and Hive. Experience with DevOps or DevSecOps. 3+ years of experience with Ansible platform, including Kubernetes or AWS Elastic Container Services.
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Experience with Agile software development practices, including SAFe, Scrum, Azure DevOps, Peer Review, GitHub, and CI/CD. This resource should have experience in Oracle HCM Cloud advanced tools such as OIC, HCM Extracts, Fast Formula, HDL, BI Publisher reports, OTBI reports, Redwood Page Composer, Page Configurator, REST APIs, SOAP, Webservices, Fast Formula, Oracle HCM Application Security.
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machine learning aws devops jobs Title: devops engineer Company: Pri in Fairfax, VA
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