Flexible Work, Better Balance
Position Summary:
The Senior AI/ML Engineering Specialist, Responsible AI operates as the enterprise’s hands-on “mechanic” for AI governance, the specialist who gets under the hood of production models and AI solutions to diagnose, remediate, and certify them against responsible AI standards. This role works across business units, embedding into project teams to evaluate models for fairness, explainability, robustness, and compliance, then engineers the fixes needed to bring solutions up to enterprise quality. Think of it as a technical quality inspector with a wrench: you don’t just flag problems, you fix them or build the tooling so teams can fix them at scale.
Key Responsibilities:
Conduct hands-on responsible AI assessments of models and AI solutions across the enterprise, evaluating bias, fairness, explainability, data quality, and robustness against established standards.
Engineering remediation solutions when models fail gove...