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Data & AI Operations Specialist

11 hours, 18 minutes ago
India
Full-time
Senior
Machine Learning Engineer
DevOps and Infrastructure
Azure CI/CD Databricks Grafana MLOps SIEM Terraform
Apply Now
ZainTech

ZainTech

ZainTech is a regional Digital & ICT powerhouse, offering comprehensive solutions in Cloud, IoT, Cybersecurity, Big Data & Analytics, Drones, and Robotics for enterprise and government customers in the MENA region.

Internet Software & Services
51-250
Founded 2021
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Description

  • Serve as the Level 3 technical lead for the AI and Data Platform estate, providing architecture, engineering, and advanced troubleshooting support across Azure and OCI.
  • Maintain and enhance the monitoring architecture for AI/ML platforms and configure advanced dashboards in Grafana and Azure Monitor for deep-tier diagnostics.
  • Manage Azure Machine Learning (AML) workspace configurations, compute targets, and Databricks cluster lifecycles, including runtime versioning and platform patching.
  • Oversee GPU resource allocation, reserved capacity planning, and cost-performance optimization to meet FinOps objectives.
  • Ensure security integration for AI services via private endpoints, VNET integration, and RBAC controls to protect sensitive citizen data.
  • Design, optimize, and remediate Azure Data Factory (ADF) and Synapse data pipelines and ETL processes.
  • Resolve complex operational and performance issues, including authentication failures, data format changes, and ETL performance bottlenecks.
  • Author and maintain step-by-step Standard Operating Procedures (SOPs) for the L1 NOC team and produce timely Root Cause Analysis (RCA) documentation after incidents.
  • Implement MLOps practices including CI/CD pipelines for model training, testing, deployment to AML endpoints, data drift detection thresholds, automated retraining triggers, and recovery runbooks/self-healing scripts.
  • Implement and maintain audit logging for AI decisions and model outputs to SIEM/vSOC and lead quarterly AI governance and compliance reviews to align with regulatory standards.

Requirements

  • Deep expertise with Azure Machine Learning (AML) and Databricks.
  • Proficiency designing and operating Azure Data Factory (ADF) and Synapse pipelines and ETL workflows.
  • Experience building reproducible infrastructure using Terraform or ARM Templates (Infrastructure-as-Code).
  • Hands-on experience with observability and diagnostics tools such as Dynatrace, Grafana, and Azure Monitor.
  • Familiarity with containerization and orchestration technologies including AKS, Istio Service Mesh, and KEDA.
  • Experience managing GPU resource allocation, reserved capacity, and cost-performance tradeoffs to meet FinOps goals.
  • Strong understanding of ITIL-aligned Incident, Change, and Problem management processes.
  • Security mindset with familiarity with NESA standards and UAE data residency requirements.
  • Ability to author complex SOPs and deliver RCA documents within 48 hours of an incident.
  • Experience implementing CI/CD for ML workflows, data drift detection, automated retraining, and recovery automation.
  • Microsoft Azure Data Scientist Associate or Azure AI Engineer Associate certification is highly preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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