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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Our CI/CD pipelines are implemented on top of Jenkins and deployed to AWS. Some of the other technologies we have in our ecosystem are Glue, S3, Lambdas, ALBs, Snowflake and Databricks.
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2 + Experience on Docker Containers with Kubernetes Experience with Microsoft cloud technologies such as Azure data factories, table storage and Microsoft Azure cloud development, architecture, or management.
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As a CO+I Regional Datacenter Program Manager, you will perform a key role in delivering the core infrastructure and foundational technologies for Microsoft's online services including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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Excellent presentation skills – ability to deliver engaging workshops to both technical and non-technical audiences on AI topicsAI experience with Nvidia, IBM, Microsoft, Dell, NetApp, HPE, and/or other AI vendorsIn-depth understanding of language models, including but not limited to GPT-3, BERT, or similar architectures.
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We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.
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Or GoExperience with public cloud (Azure or AWS) and KubernetesExperience developing software solutions using object-oriented methodologies and design patternsExperience with CosmosDB, SQL, CassandraPreferredExperience with Microsoft technology stack (C.
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Bonus:Industry certifications: AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+, Microsoft Azure, CISSP, CSP.Experience working with Active Directory, SAML/SCIM, API's, Python, and other coding languages is a plus.
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Build and maintain scalable and secure cloud-native applications on Microsoft Azure. Experience with front-end frameworks and libraries such as Angular, React, or Vue.js. Build and maintain scalable and secure cloud-native applications on Microsoft Azure.
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Application security GitOptional: Experience with Entity Framework or other ORM (Object Relational Mapping) Optional: Powershell Optional: Experience in SSO (single sign-on)/federated securityAt least one Microsoft Certification in a relevant discipline or able to obtain one within your first year (We will cover costs associated with obtaining and maintaining certification.
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SME with In-depth hands-on experience across all Microsoft cloud and management products; Azure, DevOps, InTune, SharePoint, etc. Well versed in on-premise infrastructure: Active Directory, DNS, VMWare, Hyper-V, firewalls, routing, Identity and user management solutions provided by Azure or 3rd party.
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Keywords: Office 365, Azure, SAS, SAN, LAS, NOC, Second, Associate Engineer, Network Operations, Engineer, Tier 2, Tier Two, Level two, Active Directory, AD, Exchange, Outlook, Excel, Microsoft Office, Remote Support, Escalation, Network, Systems Administration, Systems Admin, Service Desk, Help Desk.
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NET C# and Python, with a focus on building cloud-native applications using Microsoft Azure. Hands-on experience with Microsoft Azure and building cloud-native applications.
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Microsoft Azure: Experience with Microsoft Azure AD, Site recovery, Microsoft 365 deployment, migration from exchange. On Demand Flexible Paydays for earned wages through an app called Dayforce Wallet.
$90,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Prototype and test AI solutions using Python and Streamlit with a focus on natural language processing and text extraction from documents (PyPDF, Azure Document Intelligence) Experience with distributed computing and cloud environments (eg, Microsoft Azure.
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