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 MISSIONBuild, validate, and support machine learning models that underpin AI MVPs.Key ResponsibilitiesDevelop and validate ML models for telecom and fintech use cases including customer segmentation, churn prediction, and transaction anomaly detectionSupport experimentation, A/B testing, and model validation across the AI MVP pipelineEngineer 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 workflowsMust-have SkillsPythonML fundamentals (classification, regression, clustering, validation techniques)Experience with Azure or cloud ML platformsNICE-TO-HAVEExperience with telecom or financial services dataFamiliarity with Azure ML or DatabricksKnowledge of model monitoring and drift detection