Responsibilities

The Machine Learning Developer / Engineer will develop and implement machine learning models to solve complex business problems from the ground up, utilizing algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance. They will ensure models are scalable and maintainable, perform detailed data analysis to extract meaningful insights, conduct feature engineering to improve model accuracy, validate and clean data, and communicate findings and recommendations to stakeholders. The role also involves collaborating with team members to integrate models into existing systems and workflows, creating dashboards and visualizations using Python libraries like Dash, Streamlit, Panel, and Bokeh, and providing regular reports on model performance and business impact, applying machine learning techniques to healthcare-specific problems.