Description

You will design, implement, and manage scalable cloud infrastructures in Azure to support AI model deployments, ensuring high availability and reliability.

This role is on-site.

Responsibilities

• Collaborate with AI Engineering to streamline machine learning model deployment and optimize cloud resource usage for performance and cost.
• Develop and enforce security best practices for Azure resources, covering IAM, data protection, and compliance.
• Troubleshoot and resolve infrastructure and model deployment issues to ensure minimal downtime.
• Design and build high availability and disaster recovery/fail-over infrastructures.

Required Skills

• 5+ years of experience designing, developing, and operating highly available, scalable, fault-tolerant systems.
• Extensive hands-on experience with Azure, AWS, OpenStack, and VMware.
• Deep knowledge of Linux fundamentals and open-source architectures.
• Proficiency with networking protocols including TCP/IP, VPN, SSL, and HTTP.
• Experience with cloud services: Azure ML Studio, AKS, Azure Functions, and Cosmos DB.
• Familiarity with agile/scrum methodologies.
• Experience with enterprise cloud solutions across private, public, and hybrid environments.
• Ability to work with database or application integration technology.

Key Skills

Education

Any Graduate