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
