Ai Governance Officer
5 months ago
AI Governance Officer
Important Information
Experience: more than 8 years
Job Mode: Full-time
Work Mode: On-site
Encora is a global Software and Digital Engineering company that helps business overcome the Software Engineering Talent shortage and provides next-gen services and such as Predictive Analysis, Artificial Intelligence & Machine Learning, IoT, Cloud, and Test Automation. We count with 16 global offices and 25 innovation labs.
Our Software Engineering experts work with leading-edge technology companies to improve their speed to impact.
**Responsibilities**:
- **Design** Framework for Responsible Practice**: Lead the development of a framework for responsible AI practice within the organization, encompassing principles, guidelines and best practices for ethical, transparent and accountable AI solutions development and deployment
- **Project Oversight and Quality Assurance**: Provide oversight and quality assurance on AI solutions and products throughout the development lifecycle, ensuring adherence to responsible AI principles and compliance with regulatory requirements, industry standards, and organizational policies
- **Mitigation Planning for Potential AI Incidents**: Identify and assess potential risks and biases associated with AI solutions and develop mitigation plans to address them, including fairness-aware model training, bias detection and transparency measures.
- **Ethical AI Education and Training**: Educate and train AI ML COE members and stakeholders on ethical AI principles, responsible AI practices and the potential impacts of AI technologies on society.
- **Stakeholder Engagement and Collaboration**: Engage with internal and external stakeholders, including data scientists, engineers, legal experts, and regulators to collaborate on responsible AI initiatives and industry-wide efforts
Requirement:
- Bachelor's degree in computer science, ethics, law or related field.
- Strong understanding of ethical principles, regulatory requirements and societal implications of AI technologies, with knowledge of emerging standards and best practices in responsible AI.
- Familiarity with regulatory requirements and ethical guidelines related to AI and machine learning.
- Proven experience in a relevant role within the banking or financial services sector, such as compliance, risk management, or data governance.
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