
AI Governance Specialist
7 days ago
We are seeking a seasoned professional to drive the architecture of our AI solutions, ensuring they meet the highest standards of governance and assurance.
This role requires expertise in AI and machine learning, as well as exceptional communication and documentation skills to collaborate with technical and non-technical teams.
- Define Architecture: Lead the development of new systems, integrating open-source AI testing and assurance libraries into deployable frameworks.
- AI Model Evaluation: Build and rigorously test models against fairness, robustness, explainability, and governance principles, implementing reproducible pipelines for evaluation, benchmarking, and reporting.
- Collaboration & Growth: Partner with global Responsible AI leaders, translate complex governance and compliance requirements into practical engineering-led solutions, and contribute to pilots, client delivery, and the long-term technical roadmap of our solutions.
- Proven track record building, training, and evaluating AI/ML models in industry, research, or advanced academic projects.
- Experience developing or integrating AI testing and assurance tools is highly desirable.
- Strong proficiency in Python and modern ML/AI libraries, as well as hands-on familiarity with explainability and fairness tools.
- Excellent communication and documentation skills, with the ability to operate across technical and non-technical teams.
- Awareness of Responsible AI frameworks and a collaborative style are essential for this role.
This position offers a unique opportunity to shape the future of AI governance and assurance, working with a talented team to develop innovative solutions that make a real impact.
You will have the chance to work on diverse projects, collaborating with experts from around the world, and contributing to the growth and success of our organization.
In addition to a competitive salary and benefits package, you will also receive opportunities for professional development, mentoring, and networking within the industry.
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