Role overview
Build, validate, and support machine learning models that underpin AI MVPs.
What you'll work on
- 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
What we're looking for
- Python
- ML fundamentals (classification, regression, clustering, validation techniques)
- Experience with Azure or cloud ML platforms
Tags & focus areas
Used for matching and alerts on DevFound Contract Ai Machine Learning Data Science Mlops Data Engineer