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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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Required Skills and Qualifications 3-5 years Proven experience as a DevSecOps Engineer or similar role, with expertise in implementing security practices in cloud environments, particularly AWS. AWS certification(s) such as AWS Certified Security – Specialty, AWS Certified DevOps Engineer – Professional, or AWS Certified Solutions Architect – Professional preferred.
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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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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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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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Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology. Staying up-to-date with the latest advancements in AI, machine learning, and autonomous vehicle research, and identifying potential areas of improvement for our existing systems.
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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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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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Develop, deploy, update, and manage AWS cloud infrastructure platforms such as EC2, ELB, S3, EBS, RDS, and KMS. Experience with deploying, updating, and managing 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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This is your chance to leverage your expertise in building enterprise cloud-native solutions involving Kubernetes, Rancher, AWS, and Azure. 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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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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Relevant certifications (e.g., AWS Certified Machine Learning, Google Professional Machine Learning Engineer, Certified Kubernetes Administrator) are highly desirable.
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machine learning aws devops jobs Title: devops Company: Pri in Vienna, VA
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