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Leverage Azure PaaS services such as Azure App Service, Azure Functions, Azure SQL Database, and Azure DevOps for application development and deployment. Minimum of 8 years of experience in full-stack software development, with a focus on Microsoft Azure technologies.
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First Horizon Bank, CISO group, seeks a qualified Active Directory/Azure Administrator to manage the administration, implementation, and maintenance of Active Directory and Azure infrastructures.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. Experience with Azure cloud services, particularly Azure Machine Learning and Azure Databricks.
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Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow. As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions.
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5+ years of experience in machine learning engineering, data science, or a related field. Your responsibilities will include collaborating closely with product teams, contributing your expertise in machine learning technologies, and leveraging your full-stack capabilities to support the implementation of frontend components using React.
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Experience with general DevOps tooling (Git, Atlassian Jira/Confluence, Azure DevOps, GitHub, Python, etc.) As an Azure DevOps Lead Engineer you will work closely with technical leads and developers of various teams to implement process improvements in various domains including: infrastructure-as-code (Terraform Enterprise) and Azure resource configuration.
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Exp designing and delivering data engineering solutions with Databricks Exp in Azure Databricks Experience in Data Engineer in zure Big Data Environment Expertise in ETL tools i.e. (Infomatica, Talend, SSIS, Data Stage) Expertise in Implementing Data Warehousing Solutions Exp with working in Agile (KANBAN, Scrumban) environment Exp in zure stack ( zure Data Lake, zure Data Factory) Exp in Scala or Python, T-SQL.
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Assist in the deployment of machine learning models into production environments, implementing monitoring and logging mechanisms for performance tracking. Collaborate with frontend developers to support the implementation of responsive and user-friendly web interfaces using React, integrating machine learning capabilities seamlessly into frontend applications.
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Strong experience on Active Directory domain integration with third party tools integration like - AAD, Okta, SailPoint, workday and phone systemsManagement of Azure AD Connect, Conditional Access policies, MFA, FIDO Authentication, Windows hello for Business setupGather requirements interacting with multiple stakeholders and Application OwnersFamiliarity in the following areas: Single Sign On, directory schema, replication topology, RBAC, User lifecycle.
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Implement Azure Defender EDR policies, Purview DLP, for Azure Iaas/PaaS/SaaS/Microsoft 365, with Sentinel integration, and Security Center and Compliance Center for monitoring and managing security and compliance-related configurations.
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Knowledge of machine learning algorithms, statistical modeling, and data structures. Assist in the development and optimization of machine learning algorithms and models, providing guidance on best practices and methodologies.
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Proficiency in Python for machine learning and data analysis. Strong problem-solving mindset and a proactive attitude towards learning and self-improvement. Document technical solutions, processes, and best practices, and share knowledge with team members to facilitate learning and collaboration.
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Familiar with the following cloud service providers (CSP) functions, features, and services (Azure, AWS, Google, Alibaba) - Preferred AZURE. Knowledgeable in cloud computing tools and solutions (Preferred Kubernetes, CSP Portals and Console UI’s listed above, Azure Security Center and Portal.
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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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azure job Title: machine learning Company: Advantis Global
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