Job Description
Join Nexus Solutions Inc. at the forefront of shaping humanity's technological future. We're seeking an AI Ethics Specialist to pioneer responsible AI frameworks that will define the digital landscape of 2026 and beyond. This role bridges cutting-edge technology with profound ethical considerations, ensuring our AI innovations align with human values while driving business transformation.
You'll architect governance policies for autonomous systems, conduct bias audits in ML pipelines, and collaborate with quantum computing researchers to preempt ethical challenges in next-generation AI. If you're passionate about building technology that serves humanity ethically while maintaining competitive advantage, this is your opportunity to make history.
Responsibilities
- Develop comprehensive ethical governance frameworks for AI systems deployed in healthcare, finance, and autonomous sectors
- Lead bias audits and fairness assessments across machine learning pipelines using advanced statistical methods
- Collaborate with quantum computing teams to establish ethical protocols for next-gen AI processing
- Create stakeholder engagement strategies for transparent AI decision-making processes
- Research emerging ethical challenges in generative AI and predictive analytics
- Design certification processes for ethical AI compliance across international markets
- Mentor cross-functional teams on responsible AI implementation practices
Qualifications
- PhD or Master's degree in Ethics, Philosophy, Computer Science, or related field with AI specialization
- Minimum 5 years of experience in AI governance, ML ethics, or technology policy development
- Expertise in bias mitigation techniques and fairness metrics for large-scale AI systems
- Strong understanding of regulatory frameworks (EU AI Act, NIST AI RMF, etc.)
- Proven track record of publishing research on AI ethics or related topics
- Experience with stakeholder engagement in complex ethical technology deployments
- Proficiency in Python for ethical auditing tools and bias detection algorithms