You will build and validate models that power real business outcomes for a telecom and fintech company — from subscriber retention and network quality prediction to credit scoring and payment fraud detection.
ROLE MISSION
Build, validate, and support machine learning models that underpin AI MVPs.
Key Responsibilities
- Develop and validate ML models for telecom and fintech use cases including customer segmentation, churn prediction, and transaction anomaly detection
- Support experimentation, A/B testing, and model validation across the AI MVP pipeline
- Engineer features from telecom datasets (CDR, network logs) and fintech data (transaction records, customer profiles)
- Collaborate with data engineers, BI engineers, and automation teams to integrate model outputs into production workflows
Must-have Skills
- Python
- ML fundamentals (classification, regression, clustering, validation techniques)
- Experience with Azure or cloud ML platforms
NICE-TO-HAVE
- Experience with telecom or financial services data
- Familiarity with Azure ML or Databricks
- Knowledge of model monitoring and drift detection
