Senior MLOps Engineer - GPU & OpenShift Infra

MSH; Charlotte (NC); On-site; USD 83,000 - 152,000; Part time

Job summary

MSH is seeking an experienced MLOps Engineer to lead infrastructure for enterprise-scale Generative AI and Predictive AI platforms in Charlotte, NC. The role emphasizes GPU-accelerated environments, OpenShift, Kubernetes, automation, and observability at scale.

The ideal candidate will bring hands-on experience supporting production AI/ML workloads in regulated enterprise settings, with strong Linux administration, CI/CD, and incident-management skills.

Qualifications

• 5+ years of infrastructure engineering experience.
• 5+ years troubleshooting end-to-end architectures, including CI/CD pipelines.
• 5+ years Linux systems administration and troubleshooting.
• 4+ years supporting AI/ML platforms.
• 4+ years Kubernetes/container platforms production operations.
• Strong experience with automation, production support, and incident management.

Responsibilities

• Lead infrastructure initiatives supporting Generative AI and Predictive AI platforms from design through production operations.
• Design, deploy, and manage OpenShift-based container platforms optimized for GPU-accelerated workloads.
• Support AI/ML model training, inference, and batch processing environments.
• Build and operate scalable GPU infrastructure, including multi-node GPU clusters and GPU SuperPod architectures.
• Develop and maintain monitoring, alerting, and observability solutions using Grafana, Splunk, and enterprise telemetry tools.
• Define and implement SLIs/SLOs to proactively identify performance, capacity, and reliability risks.
• Develop AI-driven and agent-based automation for self-healing, scaling, diagnostics, and incident remediation.
• Apply AIOps practices to reduce alert fatigue and improve platform reliability.
• Lead production incident investigations, root-cause analysis, and preventive remediation initiatives.
• Collaborate with cross-functional and geographically distributed engineering teams while mentoring other engineers.
• Ensure platform stability, availability, resiliency, and compliance with enterprise operational controls.

Skills

MLOps

Kubernetes

OpenShift

CI/CD

Linux administration

Incident management

Tools

Grafana

Splunk

Telemetry pipelines

Job description

MSH is seeking an experienced MLOps Engineer to lead infrastructure for enterprise-scale Generative AI and Predictive AI platforms in Charlotte, NC. The role emphasizes GPU-accelerated environments, OpenShift, Kubernetes, automation, and observability at scale.

The ideal candidate will bring hands-on experience supporting production AI/ML workloads in regulated enterprise settings, with strong Linux administration, CI/CD, and incident-management skills.