Data & AI Operations Specialist

🕒 April 7

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ZainTech

WebsiteLinkedInAll Job Openings

201 - 500 employees

ZainTech is Zain Group’s dedicated regional Digital & ICT powerhouse, driving transformation and enablement of enterprise and government customers through the development and adoption of the latest technologies. These capabilities extend to Cloud, IoT, Cybersecurity, Big Data & Analytics, Drones, and Robotics, as well as an extensive suite of Digital Products & Solutions across Smart Cities, in collaboration with world-class partners.The establishment of ZainTech consolidated Zain Group’s key Digital and ICT assets under one roof to provide end-to-end solution propositions centered on a one-stop provision of comprehensive enterprise digital solutions and transformation services. The organization offers a single point of contact for sales and personalized customer care for multi-national corporations with a presence across the region.

📋 Description

• 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.

🎯 Requirements

• 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.