Senior Software Engineer - MTS-3/ 4

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.

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the
journey. By joining our team, you will become part of a community dedicated to applying
cutting-edge AI/ML research to develop industry-defining software solutions for audience
measurement. We empower our engineers to architect and implement systems that unlock
novel insights from complex audience data.

About the Role
As a Software Engineer on the AI/ML Platform team, your primary objective is to build scalable,
reliable, and cost-effective solutions that power our global measurement products. You will work
within an Agile environment to test, develop, and implement quality software, contributing to
Nielsen's strategic shift toward modern ML-driven infrastructures.

Responsibilities
● Design and develop robust backend services and reusable components using Python
and Java.
● Collaborate with Data Science and Engineering teams to integrate sophisticated
methodologies into production build pipelines.
● Implement and optimize AI/ML systems to process large-scale audience data across
Cloud and on-premises environments.
● Identify and resolve technical incidents to ensure high availability and low latency for AI
services.

Qualifications
● Bachelor's or Master's degree in Computer Science, or Engineering,
● Strong proficiency in Python and Java programming languages.
● Core software engineering excellence, including knowledge of SQL, data structures, and
Agile methodologies.
● Understanding of cloud infrastructure like AWS or Google Cloud or Azure.
● Experience with MLOps or Data Engineering (e.g., Airflow, SageMaker, Spark, or CI/CD
pipelines) is highly preferred.
● Proven ability to troubleshoot complex technical problems and deliver scalable systems.

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