Typical responsibilities
- Build training pipelines and feature engineering on top of your data.
- Train, tune and compare models for prediction, ranking, forecasting or classification.
- Deploy models as APIs or batch jobs with versioning and rollbacks.
- Monitor model performance and data drift, and retrain when quality drops.
- Optimize models and infrastructure for speed and cost.
- Write clean, tested code that fits your engineering standards.
- Work with data scientists and engineers to move experiments into the product.
