Sr AI Engineer

Requirements:

• Experience guiding the implementation of AI resources in Azure, and experience implementing, maintaining, and monitoring those resources.
• Experience performing regular patching and updates to ensure system security and stability.
• Experience overseeing backup operations and recovery processes in mission-critical environments.
• Experience in planning & executing cloud migrations, and moving workloads from on-premises to the cloud.
• Comfortable working in an environment that utilizes multiple frameworks/technologies, including .NET, Java, SQL, Oracle, Microsoft Dynamics, and more.
• Experience providing support and troubleshooting issues for production applications.
• Experience working with security tools such as Tenable to manage vulnerability remediation, etc.
• Experience with tools like SCCM & SCOM for automated patch management & deployment.
• Experience crafting disaster recovery (DR) plans to ensure minimal downtime and prevent data loss.
• Strong networking knowledge - including understanding OSI layer functionality and network protocols.

Nice-to-haves:

• Microsoft-focused certifications, such as: Azure Administrator Associate, Azure Solutions Architect, Azure AI Engineer Associate, etc.
• Networking-focused certifications, such as: Network , CCNA, etc.