Jobs → Engineering → MLOps Engineer

About the Role We are looking for an experienced MLOps Engineer to support enterprise-scale AI/ML infrastructure, including Generative AI and Predictive AI platforms. Key Responsibilities • Support enterprise-scale AI/ML infrastructure • Work with Generative AI and Predictive AI platforms • Manage GPU infrastructure and multi-node GPU clusters • Implement CI/CD pipelines and infrastructure automation • Ensure production reliability and high availability Requirements • 8+ years of experience in MLOps and AI/ML platform engineering • Hands-on experience with Kubernetes and OpenShift • Strong Linux systems administration and troubleshooting skills • Experience supporting production AI/ML platforms • Experience with GPU infrastructure, multi-node GPU clusters, and performance tuning • CI/CD pipelines, infrastructure automation, and DevOps experience • Monitoring and observability using Grafana, Splunk, and telemetry tools • Experience with GCP and Azure cloud platforms • AI-driven automation, AIOps, self-healing, and incident management • Production reliability, high availability, BCP/DR, and root-cause analysis