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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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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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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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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.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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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.
$112,200 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
Full-timeRemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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5 years of experience with build, source code management, and testing technologies (Eclipse, Maven, Nexus Artifact Repository, GitLab, Azure DevOps, Jenkins, and Ansible) 7 years of experience with build, source code management, and testing technologies (Eclipse, Maven, Nexus Artifact Repository, GitLab, Azure DevOps, Jenkins, and Ansible.
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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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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Implement machine learning and artificial intelligence solutions to enhance predictive analysis and proactive issue resolution. Excellent understanding of at least 8 of the following - AWS EC2, Lambda, Beanstalk, ECS, CloudTrail, CloudWatch, Systems Manager, VPC, CloudFront, ALB, Neptune, RDS, Redshift, Aurora, Glue.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Booz Allen's Digital Battlespace Team is seeking an experienced full-stack machine learning engineer to build innovative new applications and products in the defense market. 5+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutions.
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As a DevOps Site Reliability Engineer, you will use your development experience to write infrastructure as code and deploy using industry best practices like GitOps and CI/CD in a hybrid cloud environment.
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machine learning aws devops jobs Title: devops engineer Company: Pri in Falls Church, VA
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