Associate Director, Cloud Operations and AI Strategy

2 days ago

Hyderabad, Telangana, India beBeeData Full time ₹ 1,74,52,800 - ₹ 2,21,44,000
Job Overview

Opportunity Summary:

This exciting position offers the chance to lead and coordinate cross-functional teams in implementing AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting.

Key Responsibilities:

  • Develop and deploy Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring.
  • Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics.
  • Collaborate with cross-functional teams to develop self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues.
  • Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models.
  • Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances.
  • Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML.
  • Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals.
  • Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making.
  • Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency.
  • Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies.

Requirements:

  • 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry.
  • 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms.
  • Strong leadership skills and ability to collaborate with cross-functional teams.
  • Excellent communication and problem-solving skills.
  • Ability to adapt and learn new technologies and methodologies in a fast-paced environment.
  • Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks.
  • Knowledge of master data management concepts, data governance, and analytics.

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