AI / ML Engineer II / III

About the Role:

As a Machine Learning Engineer, you will take a leading role in designing and building the end-to-end

systems that power intelligent products at Nielsen. You will own complex projects from conception to

deployment, making critical design and architectural decisions. This is a high-impact role for a hands-on

engineer who can handle ambiguity, mentor others, and deliver robust, scalable ML solutions.

Responsibilities:

• Own the complete lifecycle of machine learning systems, including problem formulation, data

pipeline design, model development, deployment, and monitoring.

• Make key architectural and design decisions to ensure our ML systems are scalable, reliable, and

efficient.

• Navigate project requirements, creating clear plans of action and defining technical roadmaps.

• Optimize complex data pipelines and ML models for performance.

• Mentor junior engineers on the team, fostering their growth and ensuring high technical

standards.

• Act as the technical point of contact for your projects, managing communication with product

managers and other stakeholders.

• Cultivate a team environment focused on continuous learning, where innovative audience

measurement methodologies are developed and refined through collaborative effort

Department: Data Science, Business Intelligence & Analytics
Function: Other
Experience Level: Not Applicable