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Core experience as a DevOps support Engineer in a 24x7 uptime Amazon AWS / Microsoft Azure environment, including automation experience with configuration management tools. Utilizing the Identity Management suite of products (CA IBM, Oracle, SailPoint, Okta, Saviynt) and of their design and implementation.
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Cloudera Solr and HBase experience is a MUST. Experience with Ab Initio, EMR, S3, Dynamo DB, Mongo DB, ProgreSQL, RDS, DB2 is a Plus. DevOps (CI/CD Pipeline) is a Plus. Experience with Advance knowledge of UNIX and SQL Experience with manage metadata hub-MDH, Operational Console and troubleshoot environmental issues which affect these components.
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Familiarity and ability to test and validate workload conformance with the AWS Well Architected Framework design principals. Experience and proficiency developing and implementing quality assurance and testing programs for workloads that are implemented with AWS services, and software development technologies that include Vue.js, Python, Django, S3, SNS, SQS, Docker, EKS/Kubernetes, AWS Step Functions, EventBridge, AWS Lambda, AWS API Gateway, Elasticsearch, Caching frameworks, like Redis, Memcached, the Amazon Relational Database Service (RDS) for Postgres, the MongoDB NoSQL database service, and other AWS services.
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Hands-on experience in public and/or private cloud environments, including OpenStack, Kubernetes, Azure, AWS, and GCP. Experience with Azure DevOps Operational Framework and Azure Network (Subscription, Security zoning, etc.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Engineer, design, develop, and implement enterprise network cyber defense capabilities to prevent sophisticated cyber threats.
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Continuous Learning and Improvement: Willingness to stay updated on the latest trends and best practices in user experience design and Qlik application development. Portfolio Submission: The contractor must provide a comprehensive portfolio showcasing previous work in user experience design and Qlik application development.
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Deep knowledge of the DevOps/DevSecOps processes, application security, product identity management, and fraud prevention technologies. This role will work closely with product design, implementation engineers, and application developers to advance security features as a core platform component.
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Are you a machine learning (ML) engineer or data scientist with development skills who relishes the opportunity to leverage and deploy AI models within a solution? AI Systems DevOps Engineer.
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CGI is looking for an experienced AWS DevOps Engineer who will be responsible for architecting, deploying, and maintaining cloud infrastructure to ensure high availability, scalability, and security of applications.
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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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Prestigious Enterprise Company is currently seeking a Senior Technical Lead Toolchain Solutions Engineer with extensive Atlassian and AWS cloud experience. Create, organize & manage a central set of templates across technology microservices (java, JS, python), automations (script runner, help deployment patterns for cloud components such as storage, DB, gateway, vault across runtimes such as EKS, OCP using tools/products such as Rafay, Ansible, CFT, Terraform); with extensible framework as a design principle.
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Interior Design Sales Professional - Arlington, VA Arlington, VA, USA Req #268 Thursday, July 11, 2024 General Objectives: The Design Consultant works closely with the customer in the design center/studio, remotely, online or in the customer’s home to create individualized design solutions to sell Ethan Allen products and services.
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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 to create solutions that help meet regulatory needs for the company.
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machine learning aws devops design jobs Title: devops engineer in Mclean, VA
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