ML Engineer - AI Governance

About this role

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Role Summary

As an ML Engineer - AI Governance, you will help implement and operationalize Nielsen’s AI Governance framework across the ML lifecycle. You will work on technical guardrails, governance tooling, monitoring, automation, and deployment controls that help ensure AI systems are developed and deployed responsibly, consistently, and at scale.

Responsibilities

• Implement AI governance requirements across the ML lifecycle by embedding controls into engineering workflows and delivery practices.
• Build and maintain technical guardrails, monitoring, and governance tooling to support responsible, scalable AI deployment.
• Define and apply technical standards, documentation requirements, and deployment controls for governed AI delivery.
• Develop automation, APIs, and workflows to streamline compliance checks, traceability, audit support, and governance operations.
• Strengthen observability, validation, and reporting across AI systems, including models, prompts, responses, tool usage, and end-to-end AI activity.
• Partner with data science, product, legal, security, and other stakeholders to ensure AI solutions are implemented responsibly and aligned with governance expectations.
• Support AI security framework alignment, technical risk mitigation, and governance-by-design adoption across engineering teams.
• Con...