You will lead AI initiatives that directly impact millions of telecom subscribers and fintech customers — from predicting churn and personalising offers to detecting fraud in real time across payment networks.ROLE MISSIONLead delivery of production-grade AI solutions using Microsoft Azure AI, Fabric, and Azure ML.SUCCESS IN FIRST 90 DAYSLead 1–2 AI MVPs to deliveryDefine reusable feature engineering patternsEstablish model lifecycle standardsKey ResponsibilitiesLead ML model design and deployment for telecom use cases including churn prediction, network anomaly detection, and customer lifetime value modellingGuide feature engineering on Fabric/Databricks using telecom CDR data, customer behaviour signals, and financial transaction recordsBuild and deploy AI models for fintech use cases including fraud detection, credit risk scoring, and payment anomaly detectionMentor junior data scientists and set technical standards for model developmentIntegrate with Azure ML and AI Foundry to establish repeatable, production-ready ML pipelinesMust-have SkillsPython and ML frameworks (scikit-learn, TensorFlow, PyTorch)Azure MLFeature engineering at scaleMLOps concepts and model lifecycle managementNICE-TO-HAVEExperience with telecom CDR or network dataBackground in fintech fraud detection or credit risk modellingAzure AI Foundry or AI Services experienceGenerative AI and LLM integration experience