Description

You will manage the integration and deployment of machine learning systems within enterprise application environments. You will design, deploy, and maintain infrastructure across multiple cloud platforms and application servers.

Responsibilities

• Analyze and integrate new ML systems into existing enterprise application architectures.
• Design and deploy applications across AWS, Google Cloud, Azure, and Pivotal Cloud Foundry.
• Upgrade and maintain infrastructure components including Weblogic, Tomcat, and TCServer.
• Configure SSL and security policies to ensure application security.
• Optimize system performance through load and performance testing.

Required Skills

• 5+ years of professional experience in MLOps or related roles.
• Hands-on experience with AWS, Google Cloud, and Azure.
• Experience deploying on Pivotal Cloud Foundry.
• Proficiency managing Weblogic, Tomcat, and TCServer.
• Experience with SSL configuration and security policy implementation.
• Ability to use SonarQube for code quality and vulnerability management.
• Experience with Enterprise Architect for design diagrams.
• Write and maintain scripts for automation and performance enhancement.

Preferred Skills

• Degree in any graduate field.

Key Skills

Education

Any Graduate