Responsibilities
- Create automated workflows to evaluate the performance of artificial intelligence models
- Design systems and metrics for validating model accuracy and reliability
- Integrate tools that identify bias and assess fairness in model outputs
- Construct monitoring solutions for tracking AI models deployed in live environments
- Develop features that enhance model interpretability and transparency
- Build machine learning models that power analytical functions within the platform
- Design algorithms that support AI risk assessment and assurance processes
- Collaborate with software development teams to embed ML components into platform architecture
