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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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AWS Certified Solutions Architect Professional or AWS Certified DevOps Engineer Professional. - One or more of the following certifications: GCFA, GCFE, GCIH, EnCE, CCE, CFCE, CISSP, AWS Practitioner, AWS Certified Developer, AWS Certified SysOps Administrator, AWS Certified Architect, Kubernetes Security Specialist.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Software Engineering, Intelligence Community, Java EE, Amazon AWS Consulting Partner, GSA Schedule, Microsoft Partner, Cross Domain Solutions, Business Automation, Business Intelligence, Artificial Intelligence & Machine Learning, Content Management, and Integrated Data Management.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Active AWS Certified Solution Architect Professional or AWS Certified DevOps Engineer Professional certification. Knowledge of native commercial Cloud (AWS, Azure, GCP) services, PaaS and SaaS solutions.
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AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional certification. Design and develop automated deployment and patching systems across multiple baselines (machine images and containers) that support an AWS based shared services platform for a broad spectrum of users and initiatives.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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DevOps Integration Engineer. Clarifai is a leading, full-lifecycle deep-learning AI platform for computer vision, natural language processing, audio recognition, and large language models (LLM.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Experience with Cloud Computing platforms (e.g., Amazon AWS, Microsoft Azure, Google Compute Engine)Experience with firewall automation for implementing security policies and path analysisStrong technical and hands on experience with DNS infrastructure using InfobloxStrong Architecture knowledge and experience tools like Ansible Automation Platform and Playbook, Github, Jenkins, Pyats, Jira. Technical knowledge of common routing protocols (e.g., OSPF, BGP), IPv6, VPN, etc.
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Center 3 (19075), United States of America, McLean, VirginiaManager, Cyber Risk & Analysis (Machine Learning) Capital One’s commitment to Machine Learning has sponsorship from leadership and the Enterprise ML Program is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML and Generative AI.
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One or more of the following certifications: Certified Scrum Master (CSM), Certified Information Systems Security Professional (CISSP), AWS Certified Solutions Architect – Professional, Google Cloud Professional Certification, PMI Project Management Professional (PMP.
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Microsoft Certified: DevOps Engineer Expert. Experience in shell scripting, Python scripting and CI/CD tools such as Azure DevOps, design and implement continuous delivery pipelines that serve the purpose of provisioning non-prod and production environments.
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machine learning aws devops jobs Title: devops engineer in Falls Church, VA
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