- Adapt machine learning methods for parallel environments
- Build data pipelines
- Build scalable classifiers
- Communicate machine learning architecture decisions
- Design end-to-end machine learning systems
- Develop machine learning tools
- Drive machine learning strategy
- Identify new machine learning opportunities
- Lead experimentation and AB testing
- Mentor machine learning engineers
- Optimize model performance
- Train evaluate and deploy machine learning models
- Translate ML research into production systems