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As a DevOps engineer at Booz Allen, you’ll help streamline the software development lifecycle, from requirements to monitoring in production. As a DevOps engineer, you know that these skills create efficiency and effectiveness—so you can quickly deliver the best solutions for clients.
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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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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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The RoleThe Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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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.
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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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Markon's partner company is seeking a Senior ServiceNow DevOps Engineer to join our program supporting a key IC government customer. Senior ServiceNow DevOps Engineer. Develop, deploy, update, and manage AWS cloud infrastructure platforms such as EC2, ELB, S3, EBS, RDS, and KMS.
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Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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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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Relevant certifications (e.g., AWS Certified Machine Learning, Google Professional Machine Learning Engineer, Certified Kubernetes Administrator) are highly desirable.
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Ampcus is seeking a DevOps Engineer to work locally in the Chantilly, VA areaDevOps Engineer As a DevOps engineer, you will be required to set up cloud environments and provision computer networking, storage, and virtual networks—ultimately, how to “harness the cloud.
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Senior DevOps Engineer. Proficiency in infrastructure as code and automation tools, including Terraform, Ansible, Puppet, and AWS CloudFormation. Extensive experience with AWS, including but not limited to: VPCs, Subnets, Route Tables, EC2, Load Balancers, S3, IAM, CloudWatch, CloudFormation, and EKS.
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The Machine Learning Engineer III will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision (detection, classification, localization, and tracking) and other analytics solutions for defense and commercial applications.
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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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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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machine learning aws devops jobs Title: devops engineer Company: Pri in Herndon, VA
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