Description
Develop, test, and deploy AI solutions for the Consumer Auto organization, including Agentic AI models and governance.
This role is on-site.
Responsibilities
- Implement and test AI solutions, supporting vendor-developed Agentic AI models and their governance.
- Improve model performance and business outcomes using novel approaches.
- Integrate responsible AI practices, including governance, ethics, and security, into the model development lifecycle.
- Maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI/agentic systems.
Required Skills
- Bachelor’s degree in a quantitative/technical discipline (Math, CS, Data Science, Economics); Master’s preferred.
- 3+ years of data science or quantitative modeling experience.
- Hands-on experience with large datasets, including text data.
- Strong knowledge of Python, SQL, or R.
- Deep expertise in statistics and exploratory data analysis (EDA).
- Ability to establish benchmarks and monitor operational performance for deployed models.
- Experience deploying LLMs.
Preferred Skills
- Proven experience designing predictive models, Generative AI, and agentic systems.
- Experience with GitHub and repository management.