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 members and help e...