ZainTech

Artificial Intelligence

• Design & Architecture: Maintain the monitoring architecture for AI/ML platforms and configure advanced dashboards in Grafana and Azure Monitor.
• Environment Governance: Manage Azure Machine Learning (AML) workspace configurations, compute targets, and Databricks cluster lifecycles (including runtime versions and platform patching).
• Resource Optimization: Oversee GPU resource allocation, reserved capacity, and cost-performance optimization to align with FinOps goals.
• Security Integration: Ensure all AI services utilize private endpoints, VNET integration, and RBAC controls to protect sensitive citizen data.
• Pipeline Engineering: Own the design, optimization, and remediation of Azure Data Factory (ADF) and Synapse pipelines.
• Advanced Troubleshooting: Resolve complex bottlenecks related to authentication failures, data format changes, and ETL performance.
• SOP Leadership: Author step-by-step Standard Operating Procedures (SOPs) for the L1 NOC team to handle routine monitoring and first-line triage.
• Automation: Implement CI/CD pipelines for model training, testing, and deployment to AML endpoints.
• Model Reliability: Configure data drift detection thresholds and automated retraining triggers.
• Recovery Operations: Develop self-healing scripts and automated recovery runbooks for critical AI workflows.
• Audit Management: Implement and maintain audit logging for all AI decisions and model outputs, ensuring logs flow to the SIEM/vSOC.
• Regulatory Alignment: Conduct quarterly AI governance reviews to ensure compliance with NESA standards and data privacy guidelines.

Data & AI Operations Specialist