Key responsibilities

As a Sr. Machine Learning Engineer, you’ll lead the development and deployment of advanced ML models and scalable systems that power critical business decisions.

• Develop production-ready machine learning systems with robust testing and scalable architecture
• Build and improve forecasting and optimization models using XGBoost and advanced ML techniques
• Design data pipelines and ML workflows that transform raw data into business intelligence
• Bring research into production through experimentation, iteration, and deployment
• Integrate ML systems into real business operations and user-facing tools
• Drive model explainability initiatives using SHAP values and LLM-powered insights
• Collaborate closely with Growth, Marketing Science, Product, and Engineering teams
• Influence technical strategy while aligning ML initiatives with business impact
• Mentor team memb...