Job Description 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 Qualifications Basic Qualifications: • Master’s or Bachelor’s degree in Engineering, Mathematics, Statistics or a related field. • A proven track record of owning and shipping production machine learning systems. • Deep expertise in classification models, regression models, anomaly detection, boosted models, deep learning and simulation problems, particularly with large datasets. • Deep expertise in ML concepts, data engineering, and MLOps practices. • Proficiency in Python and SQL. • Must have deployed E2E ML systems by automating training and inference pipelines. • Hands-on experience with distributed computing frameworks like Apache Spark. • Experience with workflow orchestration tools (e.g., Airflow) and MLOps.

About Nielsen

Nielsen shapes the world’s media and content as a global leader in audience insights, data and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future. Nielsen operates around the world in more than 55 countries. Learn more at http://nlsn.co/6006JMfty and connect with us on social media (LinkedIn, Twitter, Facebook and Instagram).