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$ cat jobs/ai-ml-engineer-ii-iii-thenielsencompany-75d08c044e12.json

AI / ML Engineer II / III

Thenielsencompany·Worldwide·Bengaluru, IN·mid
ml
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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. About the Role: As a Machine Learning Engineer, you will take a leading role in designing and building the end-to-end systems that power intelligent products at Nielsen. You will own complex projects from conception to deployment, making critical design and architectural decisions. This is a high-impact role for a hands-on engineer who can handle ambiguity, mentor others, and deliver robust, scalable ML solutions. Responsibilities: • Own the complete lifecycle of machine learning systems, including problem formulation, data pipeline design, model development, deployment, and monitoring. • Make key architectural and design decisions to ensure our ML systems are scalable, reliable, and efficient. • Navigate project requirements, creating clear plans of action and defining technical roadmaps. • Optimize complex data pipelines and ML models for performance. • Mentor junior engineers on the team, fostering their growth and ensuring high technical standards. • Act as the technical point of contact for your projects, managing communication with product managers and other stakeholders. • Cultivate a team environment focused on continuous learning, where innovative audience measurement methodologies are developed and refined through collaborative effort Basic Qualifications: • Master’s or Bachelor’s degree in Engineering, Mathematics, St

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