Description

You will manage the integration, deployment, and maintenance of machine learning systems within enterprise application environments.

This role is on-site.

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