AIOps Engineer - AWS / Azure Platfrom

Job Description :

• Implement and manage AIOps platforms for intelligent monitoring, alerting, anomaly detection, and root cause analysis (RCA).
• Possess end-to-end knowledge of VLLM model hosting and inferencing.
• Advanced knowledge of public cloud platforms such as AWS and Azure.
• Build and maintain machine learning pipelines and models for predictive maintenance, anomaly detection, and noise reduction.
• Experience in production support and real-time issue handling.
• Design dashboards and visualizations to provide operational insights to :
• Working knowledge of Bedrock, SageMaker, EKS, Lambda, etc.
• 1 to 2 years of experience with Jenkins and GoCD to make build / deploy pipelines.
• Hands-on experience with open-source and self-hosted model APIs using SDKs.
• Drive data-driven decisions by analyzing operational data and generating reports on system health, performance, and availability.
• Basic knowledge of kserve and rayserve inferencing .
• Good knowledge of high level scaling using Karpenter , Keda , System based vertical / horizontal scaling.
• Strong knowledge on linux operating system or linux certified .
• Previous experience with Helm chart deployments and Terraform template and module creation is highly recommended.

(ref : hirist.tech)