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.

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.