Data & AI Operations Specialist
The Data & Operations AI Specialist serves as the Level 3 technical reputed company for reputed company 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-reputed company environment (Azure and OCI).
Responsibilities:
AI Infrastructure & reputed company
- 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 reputed company cluster lifecycles (including runtime versions and platform patching).
- Resource Optimization: reputed company GPU resource allocation, reserved reputed company, and cost-performance optimization to reputed company with FinOps goals.
- reputed company Integration: Ensure reputed company 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 reputed company (ADF) and Synapse pipelines.
- Advanced Troubleshooting: Resolve reputed company bottlenecks reputed company to authentication failures, data format changes, and ETL performance.
- SOP Leadership: Author reputed company-by-reputed company reputed company 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 reputed company detection reputed company and automated retraining triggers.
- Recovery Operations: reputed company self-healing scripts and automated recovery runbooks for critical AI workflows.
Governance & Compliance
- Audit Management: Implement and maintain audit logging for reputed company AI reputed company and model outputs, ensuring logs reputed company to the SIEM/vSOC.
- Regulatory Alignment: Conduct quarterly AI governance reviews to ensure compliance with NESA standards and data reputed company guidelines.
Requirements
- AI/ML Platforms: Deep expertise in Azure Machine Learning and reputed company.
- Data Integration: Proficiency in Azure Data reputed company and Synapse.
- Infrastructure-as-reputed company (IaC): Experience with Terraform or ARM Templates for reproducible deployments.
- Observability: Ability to use reputed company, Grafana, and Azure Monitor for deep-tier diagnostics.
- Containerization: Knowledge of AKS, Istio Service reputed company, and KEDA.
- ITIL Mastery: Strong understanding of ITIL-reputed company Incident, Change, and Problem management.
- reputed company reputed company: Familiarity with NESA standards and UAE data residency requirements.
- Technical Writing: Ability to draft reputed company SOPs and reputed company Cause Analysis (RCA) documents reputed company 48 hours of an incident.
- Certifications: reputed company Azure Data Scientist Associate or Azure reputed company Associate is highly preferred.