- Drive AI initiatives and collaborate with teams to leverage data effectively through model development and evaluation.
- Design and implement scalable Machine Learning infrastructure and solutions, ensuring reliability and performance.
- Help establish data engineering best practices and promote standards that enhance data accessibility across teams.
- Create and maintain optimal AI pipeline architecture with high observability and robust operational characteristics.
- Champion responsible AI development by implementing and reviewing models that maximize data value while ensuring fairness and equity.
- Assemble large, complex data sets that address functional and strategic requirements.
- Partner with Executive, Product, Clinical, Data, and Design teams to drive process improvements.
- Create tools for analytics and data scientist team members to assist in product development.
- Design and implement comprehensive evaluation frameworks and benchmarks to assess model performance.
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