About the RoleWe're looking for a recent graduate or early-career engineer with a passion for machine learning to join our team. You'll work alongside experienced engineers and clinicians to improve our prediction analytics platform — including delivery time predictions, risk scoring models, and staffing optimization algorithms. This is a hands-on role with significant mentorship and training opportunities as you grow your ML engineering skills in a real-world healthcare environment. What You'll Work On- Assisting with ML model development and optimization for delivery time prediction- Learning to build and manage ML pipelines on AWS SageMaker- Processing and feature engineering on healthcare datasets (150K+ patient records)- Supporting development of risk scoring models for maternal health indicators- Writing tests and documentation for ML systems- Collaborating with clinicians to understand clinical workflows and data- Learning MLOps best practices including model monitoring and deployment