- Develop, train, tune and run ML models on data to answer key questions.
- Integrate and maintain models within software products.
- Monitor model inference outputs to assess performance degradation over time.
- Establish feedback mechanisms with end users to continuously improve model performance.
- Develop and integrate new analytical algorithms to run against large datasets.
- Guide teams on how to utilize AI/ML in ethical, appropriate and values-driven ways.