AI/ML Executive

The role emphasizes applied ML, data pipelines, and production-ready models, not academic research. Build and train ML models using app data (user behavior, ads, revenue, retention). Develop prediction and classification models (LTV, churn, anomaly detection, segmentation). Work with large datasets using Python, SQL, and data pipelines. Deploy and monitor ML models in production (batch or near-real-time). Collaborate with Monetization, Growth, and Data teams to convert problems into ML solutions. Validate model performance and continuously improve accuracy and stability. Automate data-driven workflows and decision systems.

We are looking for an AI / ML Executives to build and deploy practical machine learning solutions for mobile apps, focusing on user behavior, monetization, automation, and analytics.