Posted:5 days ago|
Platform:
Work from Office
Full Time
Responsibilities Maintain and enhance existing MS Azure AI Infrastructure Provide appropriate documentation and status according to SCRUM Architect, configure, and deploy bots within Azure VNets and landing zones ensuring scalability and security. Design and manage private endpoints to ensure secure communication between bots and cloud services. Implement Azure security best practices for bot deployment, including role-based access control (RBAC), firewalls, and network security groups. Optimize bot performance using Azure resources such as Application Gateway, Load Balancers, and Traffic Manager. Collaborate with developers and DevOps teams to integrate bots into enterprise environments. Troubleshoot and resolve network connectivity, authentication, and deployment issues. Monitor bot deployments using Azure Monitor, Application Insights, and Log Analytics. Skill Sets Agile SCRUM certification or equivalent (Professional Agile Leadership, Professional Scrum Developer or Professional Scrum Master from SCRUM.org) Microsoft Azure AI Most Valuable Professional Certified AI Technical Areas of Expertise recognized by Microsoft: Azure Machine Learning, Microsoft Cognitive Services and Microsoft Bot Framework Microsoft Neural Machine Translation expertise Dev Ops on HP private cloud HP Cybersecurity policies advanced expertise MS Azure Conversational Language Understanding expertise EXPERIENCE 8-11 Years SKILLS Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): Azure Log Analytics, Azure Data Factory, Agile Framework (SCRUM)
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