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
The position is on-site.
The job offers a competitive salary based on experience and skills.
Candidates need 6+ years of professional software development experience, proven experience leading ML-based systems, strong foundation in software engineering principles and architecture, proficiency in designing software architecture and data pipelines, and familiarity with cloud services like Azure, AWS, or GCP.
The role requires leading a team of experienced and junior developers, performing code reviews, mentoring others, and establishing technical direction for critical projects.
A strong candidate has over 8 years of professional experience in software development (6+ years minimum), proven leadership in ML systems, expertise in software architecture and data pipelines, and experience with cloud services, Agile environments, and leading teams.
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.