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 transparent 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 setting focused on continuous learning, where innovative audience measurement methodologies are developed and refined through cooperative effort Qualifications

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.

📌 Ai / Ml Engineer Ii / Iii Bengaluru
🏢 Nielsen Sports
📍 Bengaluru