●Collaborate with Machine Learning Engineers, Backend Engineers, Data Scientists, and Product Managers to develop AI-powered features and services.

● Build, deploy, and maintain production-ready machine learning models that improve allocation, ETA prediction, demand forecasting, and marketplace optimization.

● Develop scalable data processing, feature engineering, and model training pipelines for large-scale datasets.

● Integrate machine learning models into backend services and ensure reliable, low-latency inference in production

● Monitor model performance, identify model drift, and continuously improve model accuracy and operational reliability.

● Contribute to MLOps practices including model versioning, automated deployment, monitoring, and experimentation.

● Write clean, maintainable, and well-tested code while following software engineering best practices.

● Participate in technical discussions, code reviews, and knowledge sharing...