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Experience with Power Automate Desktop RPA, AI Builder technologies, PowerApps integration with Azure API Apps and REST services, Power Pages, Power Virtual Agents and its customization and deployment, Dynamics 365 customizations.
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Experience with vulnerability scanning (e.g. Tenable/Nessus) and Azure/AWS cloud security solutions (e.g. WAF, PIM. Experience with advanced cloud networking solutions (e.g. Azure Virtual WAN.
$90,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Azure Machine Learning or AI Stack (e.g., Azure Client Studio, Azure AI Studio) Tech Stack includes: Python, JavaScript, Azure, Snowflake, Terraform, Bicep, Azure CLI, CDK, Redis, Docker, Git, Gitlab CI/CD, Database (NoSQL: CosmosDB, MongoDB, DocumentDB.
$70ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of data engineering technologies and platforms, such as SQL, Python, Spark, Kafka, Snowflake, DBT, AWS, Azure, or GCP. Design and implement data solutions that leverage modern technologies, such as cloud, streaming, and machine learning.
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Connect Car Application System Experience, Java, React, Nodes Js, Angular, Weblogic, Tomcat, SQL, Eclipse, App Dynamics, Dyna trace, Solar wind, AWS, Kubernetes, Azure, Docker, Apache. Experience in cloud technologies and platforms (AWS, Azure, Google Cloud, etc.
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Certifications in Kubernetes, AWS, IaC (i.e. Terraform), Cloud Providers (Azure, GCP, OCI), ect. Advanced knowledge of AWS ecosystems and familiarity with other multi-cloud providers (Azure, GCP, OCI.
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Cloud Infrastructure: Virtual Machines, Azure Database, and storage technologies (Storage Accounts, SQL Server, CosmosDB), Virtual Networks, Azure Site Recovery, Traffic Manager, Azure Automation, ARM Templates, Azure Load balancer, API Gateway and Azure AD.
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Knowledge of cloud platforms like Azure, AWS, or Google Cloud. Your expertise in AI algorithms, machine learning, and data analysis will play a crucial role in delivering intelligent systems that solve complex business challenges.
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Design, implement and manage solutions using Intune, Azure, and JAMF. Design, implement and manage Active Directory (Azure) and Okta SSO/Device Trust. Expert in Microsoft 365 and Azure and have demonstrated experience in implementing effective solutions and integrations across the Microsoft suite of offerings.
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Working knowledge of Application Software (internal & external facing), Databases (SQL/Oracle), OS (Windows/Linux), Cloud Computing Systems, Microsoft Azure, Amazon Web Services (AWS), Active Directory, Microsoft Office 365, Virtualization, etc.
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Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure; Working with Agile development methodologies and product tracking solutions such as Version Control Systems (e.g. Github), Issue Management Systems (e.g. JIRA, Azure DevOps etc.
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Implement security controls and solutions in cloud environments (Azure) to protect against threats, including control tower, Guard rails, service control policies, identity and access management, VPC flow logs and subnet security, data encryption, web application firewall and application security.
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Preferred candidate will have prior experience selling advanced technology solutions from Cisco, Dell/EMC, Palo Alto, AWS, Azure, HP, Citrix, etc. Preferred candidate will have prior experience selling advanced technology solutions from Cisco, Dell/EMC, Palo Alto, AWS, Azure, HP, Citrix, etc.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Google Cloud Platform, AWS, Azure); Exhibiting proven knowledge of IT Service Management and how it is implemented across different operating models. ITIL, ServiceNow); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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azure job Title: machine learning Company: Advantis Global in Irvine, CA
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