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 MISSION
Lead delivery of production-grade AI solutions using Microsoft Azure AI, Fabric, and Azure ML.
SUCCESS IN FIRST 90 DAYS
- Lead 12 AI MVPs to delivery
- Define reusable feature engineering patterns
- Establish model lifecycle standards
Key Responsibilities
- Lead ML model design and deployment for telecom use cases including churn prediction, network anomaly detection, and customer lifetime value modelling
- Guide feature engineering on Fabric/Databricks using telecom CDR data, customer behaviour signals, and financial transaction records
- Build and deploy AI models for fintech use cases including fraud detection, credit risk scoring, and payment anomaly detection
- Mentor junior data scientists and set technical standards for model development
- Integrate with Azure ML and AI Foundry to establish repeatable, production-ready ML pipelines
Must-have Skills
- Python and ML frameworks (scikit-learn, TensorFlow, PyTorch)
- Azure ML
- Feature engineering at scale
- MLOps concepts and model lifecycle management
NICE-TO-HAVE
- Experience with telecom CDR or network data
- Background in fintech fraud detection or credit risk modelling
- Azure AI Foundry or AI Services experience
- Generative AI and LLM integration experience
