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3 days ago
We are seeking an accomplished Senior AI Governance Specialist to play a pivotal role in our organization's commitment to developing and deploying AI solutions that meet the highest standards of quality, fairness, and responsibility.
About the Role- Collaborate with cross-functional teams including data scientists, AI engineers, and product managers to understand AI system requirements and functionalities.
- Develop and execute comprehensive test plans to assess the performance, accuracy, robustness, and fairness of AI models and applications.
- Design and implement automated testing frameworks for efficient and continuous AI validation.
- Analyze AI model outputs, identify potential biases, errors, or limitations, and provide actionable feedback to the development team.
- Contribute to the development and implementation of responsible AI guidelines and best practices within the organization.
- Stay up-to-date with the latest advancements in AI validation techniques and technologies.
- Document testing procedures and results clearly and concisely.
- Collaborate with stakeholders to address and resolve identified AI validation issues.
- Team Leadership and Coordination: Lead and mentor a team of Responsible AI Partners and oversee the activities of the distributed Data and Model Stewards Network. Foster a collaborative environment focused on effective model governance.
- Policy and Framework Implementation: Drive the implementation and adoption of our Model Policies, Standards, and Ethics Framework across various business units and projects.
- Stakeholder Engagement: Act as a key point of contact and trusted advisor for scientists, product groups, content groups, and business stakeholders on all matters related to Responsible AI and model governance.
- Internal Consulting and Guidance: Provide expert guidance and support to project teams on embedding model stewardship principles and best practices throughout the model lifecycle.
- Risk Oversight and Mitigation: Ensure the effective identification, assessment, and mitigation of model risks within your portfolio of projects, working closely with data scientists and engineering teams.
- Performance Monitoring and Reporting: Establish and monitor key metrics to assess the effectiveness of our model governance framework and provide regular reports to leadership.
- Process Improvement: Continuously evaluate and enhance our model governance processes, identifying opportunities for increased efficiency, robustness, and alignment with evolving regulations and ethical considerations.
- Data Analysis and Storytelling: Leverage data analysis and visualization techniques to understand our content, processes, and the impact of our AI models. Narrate compelling stories based on data insights, often to non-technical audiences.
A dynamic and collaborative work environment where you can make a meaningful contribution to our organization's commitment to responsible AI.
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