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Data & AI Operations Specialist at ZainTECH. The Data & Operations AI Specialist serves as the Level 3 technical lead for Artificial Intelligence and Data Platform estate. You will be responsible for the architecture, engineering, and advanced troubleshooting of AI infrastructure, data pipelines, and MLOps lifecycles across a multi-cloud environment (Azure and OCI).. Responsibilities:. AI Infrastructure & Platform Engineering. 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.. Data Pipeline & ETL Management. 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.. MLOps & Model Lifecycle. 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.. Governance & Compliance. 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.. AI/ML Platforms: Deep expertise in Azure Machine Learning and Databricks.. Data Integration: Proficiency in Azure Data Factory and Synapse.. Infrastructure-as-Code (IaC): Experience with Terraform or ARM Templates for reproducible deployments.. Observability: Ability to use Dynatrace, Grafana, and Azure Monitor for deep-tier diagnostics.. Containerization: Knowledge of AKS, Istio Service Mesh, and KEDA.. ITIL Mastery: Strong understanding of ITIL-aligned Incident, Change, and Problem management.. Security Mindset: Familiarity with NESA standards and UAE data residency requirements.. Technical Writing: Ability to draft complex SOPs and Root Cause Analysis (RCA) documents within 48 hours of an incident.. Certifications: Microsoft Azure Data Scientist Associate or Azure AI Engineer Associate is highly preferred.. Company Location: India.