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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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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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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Familiarity with the MLOps , machine learning lifecycle and product landscape, for example: Amazon SageMaker , Apache Airflow, Looker, Trifacta etc. Wide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, analytics, or machine learning.
$76,848 - $130,642 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Excellent communication skills, both written and verbal, with the ability to convey complex security concepts to technical and non-technical stakeholdersCloud certifications such as AWS Solutions Architect Associate/Professional, AWS SysOps Administrator, AWS Developer, or AWS DevOps Engineer Like we said, we are big fans of our people.
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Proficiency in Docker, Git/GitHub, Artifactory, Ansible, Terraform, AWS, Azure DevOps, and Kubernetes. Extensive cloud development, management, and sustainability experience (i.e. AWS, Azure DevOps); deep knowledge of services (i.e. S3, WAF, Networking, Security, IAM, Storage.
$96,300 - $144,600 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Implement and integrate machine learning models using AWS Sagemaker, MLFlow, and Jupyter Notebooks into production systems. Experience with AWS Sagemaker, MLFlow, Jupyter Notebooks, and other machine learning frameworks and applications.
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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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4 years experience in pre-sales engineering, with at least two years of focus on machine learning or artificial intelligence products. 2 years experience developing prototypes using cloud computing solutions like Oracle Cloud, AWS, Azure, or GCP.
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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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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry's ML team and technology.
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The Junior DevOps Engineer will create, deploy, monitor, scale and secure infrastructure and applications using automation tools like Terraform, Ansible, and Helm. This role will work with other engineers to evolve the company’s current cloud and infrastructure using Terraform and Kubernetes.
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Build highly configurable IaC templates using CloudFormation, AWS CDK or Terraform. Build CI/CD Pipelines for e2e automation using GitLab, BitBucket or Azure DevOps. 2+ years combined in AWS CloudFormation, AWS CDK or Terraform.
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Keywords: Cloud Infrastructure, Cloud Operations, CloudOps, SaaS, Hosting, Public Cloud, Amazon Web Services, AWS, Automation, DevOps, SRE, CDK, TypeScript, Python, SQL. 2+ years building infrastructure-as-code solutions using AWS Cloud Development Kit (CDK) written with TypeScript or 2+ years writing TypeScript, Node.js or another JavaScript language.
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machine learning aws devops jobs Title: devops engineer Company: Pri in Mclean, VA
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