Nielsen

AI / ML Engineer II / III

Bengaluru, India · On-site · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerNielsen
LocationBengaluru, India
Work styleOn-site
Employment typeFull-time
Employer posted2 months ago

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

Show full description

Basic Qualifications:
• Master’s or Bachelor’s degree in Engineering, Mathematics, Statistics or a related field.
• A proven track record of owning and shipping production machine learning systems.
• Deep expertise in classification models, regression models, anomaly detection, boosted models,
deep learning and simulation problems, particularly with large datasets.
• Deep expertise in ML concepts, data engineering, and MLOps practices.
• Proficiency in Python and SQL.
• Must have deployed E2E ML systems by automating training and inference pipelines.
• Hands-on experience with distributed computing frameworks like Apache Spark.
• Experience with workflow orchestration tools (e.g., Airflow) and MLOps.

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.

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