Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
This information is not specified in the job description.
Required skills include experience with Machine learning frameworks and models, leading projects with LLMs, GenAI and Prompt Engineering, real-world MLOps, strong understanding of LLMs, GenAI, Prompt Engineering and Copilot, cloud environment knowledge, and comfort in Python and Java.
Nielsen is passionate about powering a better media future by providing powerful insights that drive client decisions, with a global workforce dedicated to capturing audience engagement with content across platforms in over 30 countries.
A strong candidate holds a Bachelor’s degree in Computer Science or equivalent, has 6+ years of software experience, and demonstrates hands-on expertise in ML frameworks, LLMs, GenAI, Prompt Engineering, MLOps, cloud environments, and Python/Java.
Global measurement and data analytics provider
Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.