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Associate Manager, D&AI AIOps, MLOps Operations, Consumer & Commercial

Associate Manager, D&AI AIOps, MLOps Operations, Consumer & Commercial

ConfidentialHyderabad / Secunderabad, Telangana
22 days ago
Job description

Responsibilities

  • Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting.
  • Assist in deploying 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.
  • Contribute to developing 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.
  • Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow.
  • Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL / ELT automation.
  • 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.
  • Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience.
  • Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits.
  • Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies.
  • Assist in developing risk management strategies for AI-driven operational automation in Azure environments.
  • Prepare and present program updates, risk assessments, and AIOps / MLOps maturity progress to stakeholders as needed.
  • Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives.
  • Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity.
  • Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals.
  • Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders.

Qualifications

  • 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.
  • 5+ years of experience working within cross-functional IT or data operations teams.
  • 2+ years of experience in a leadership or team coordination role within an operational or support environment.
  • Experience in AI / ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP.
  • Excellent Communication : Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence.
  • Customer-Centric Approach : Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution.
  • Problem Ownership & Accountability : Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction.
  • Growth Mindset : Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment.
  • Operational Excellence : Experience in managing and improving large-scale operational services with a focus on scalability and reliability.
  • Site Reliability & Automation : Understanding of SRE principles, automated remediation, and operational efficiencies.
  • Cross-Functional Collaboration : Ability to build strong relationships with internal and external stakeholders through trust and collaboration.
  • Familiarity with CI / CD processes, data pipeline management, and self-healing automation frameworks.
  • Strong understanding of data acquisition, data catalogs, data standards, and data management tools.
  • Knowledge of master data management concepts, data governance, and analytics.

    • Skills Required

    Data Analytics, Data Catalog, data acquisition, MLops, Commercial, Azure Logic Apps, Azure Machine Learning, Azure Databricks

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