Machine Learning Developer

1. Develop and maintain healthcare calculators and simulations using ML and data-driven techniques.
2. Perform data wrangling, preprocessing, and analysis on various healthcare datasets to ensure data quality and usability.
3. Design, implement, and evaluate machine learning and deep learning models for predictive analytics and decision support in healthcare.
4. Conduct train-test split and model training to optimize performance and generalizability.
5. Collaborate with healthcare stakeholders to gather requirements, design solutions, and implement AI and data-driven applications.
6. Ensure data management best practices, including data governance, data security, and data privacy, are followed.
7. Utilize SQL for data extraction, transformation, and loading (ETL) processes.
8. Continuously monitor and refine models and algorithms to improve accuracy and efficiency.
9. Stay current with the latest advancements in ML, machine learning, and data science, and apply these advancements to healthcare applications.
10. Conduct research, data analysis, forecasting, and interpretation of results.
11. Deal with data preprocessing, including handling missing values, data cleaning, normalization, and transformation.
12. Implement strategies for data imputation and dealing with outliers.
13. Optimize data pipelines to ensure efficient data processing and storage.
14. Work with large-scale datasets, ensuring data integrity and consistency.

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