Machine learning Engineer

Posted:
11/6/2024, 7:56:07 PM

Location(s):
Haryana, India ⋅ Gurugram, Haryana, India

Experience Level(s):
Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
Hybrid

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.

Nielsen is seeking an organized, detail oriented, team player, to join the Engineering team in the role of Software ML Engineer.  Nielsen’s Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world.  The Software Engineer will be responsible to define, develop, test, analyze, and deliver technology solutions within Nielsen’s Collections platforms.  
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.

Nielsen

Website: http://www.nielsen.com/

Headquarter Location: New York, New York, United States

Employee Count: 10001+

Year Founded: 1963

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Advertising ⋅ Consulting ⋅ Digital Media ⋅ Market Research ⋅ Test and Measurement ⋅ TV