MLOps Architect - Remote

Overview

The MLOps Architect will lead the architecture and implementation of MLOps/LLMOps systems, focusing on best practices for scalability, reliability, and maintainability while contributing to open-source communities.

In Short

• Lead the architecture and implementation of MLOps/LLMOps systems within OpenShift AI.
• Design and develop robust, production-grade features focused on AI trustworthiness.
• Drive technical decision-making around system architecture and technology selection.
• Define and implement technical standards for model deployment and monitoring.
• Collaborate with product management to translate customer requirements into technical specifications.
• Lead code reviews and architectural reviews to ensure high code quality.
• Identify and resolve complex technical challenges in production environments.
• Partner with cross-functional teams to establish technical roadmaps.
• Provide technical mentorship to team members.

Requirements

• Experience with MLOps and LLMOps systems.
• Strong knowledge of OpenShift and Kubernetes.
• Proficiency in AI trustworthiness and model monitoring.
• Experience in technical leadership and mentoring.
• Ability to drive architectural decisions and technical standards.

Benefits

• Opportunity to work with cutting-edge technologies.
• Collaborative and innovative work environment.
• Professional development and mentorship opportunities.
• Contribute to open-source communities.