Cloud Operations Engineer for AI/ML Systems

7 days ago

Hyderabad, Telangana, India beBee Careers Full time

Job Description:

We are seeking an experienced Cloud Operations Engineer to join our team. This role will focus on designing and implementing event monitoring, correlation, and incident response systems for AI/ML applications.

Key Responsibilities:

  • Event Monitoring & Detection
    • Implement and maintain event monitoring for data pipelines, ML model workflows, real-time data streams, and AI services.
    • Set up real-time alerts for SLO/SLI breaches, data delays, model failures, prediction accuracy drops, and drift detection.
    • Integrate observability tools like Azure Monitor, Datadog, AppDynamics, ELK, Grafana to capture and visualize events.
  • Event Correlation & Analysis
    • Design and implement event correlation logic to reduce alert noise.
    • Leverage rule-based logic or ML-based anomaly detection to group related events from multiple sources.
    • Build intelligent dashboards providing event-driven insights into AI/ML system performance and health.
  • Event-Driven Incident Response
    • Automate and coordinate incident response workflows based on critical events.
    • Reduce MTTR using tools like ServiceNow Event Management and other automation workflows.
    • Lead Post Event Analysis (PEA) sessions for high-severity incidents and implement improvements.
  • Proactive Observability Engineering
    • Collaborate with ML/Data Engineering teams to embed custom telemetry for feature stores, jobs, streaming and batch pipelines.
    • Ensure full-stack observability via logs, traces, metrics, and alerting.
    • Continuously optimize alert thresholds, runbooks, and incident automation.
  • Cross-Team Communication & Operational Readiness
    • Act as the liaison for event, alert, and incident communication between platform engineering, data science, and business stakeholders.
    • Participate in Operational Readiness Reviews (ORRs) for new workloads.
    • Maintain up-to-date Standard Operating Procedures (SOPs) for triaging, classification, and escalation.
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