AI / ML Engineer II / III

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Skills you'll use

What you'll do

• 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
• 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
• 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

Who can apply

• A proven track record of owning and shipping production machine learning systems.
• Deep expertise in classification models, regression models, anomaly detection, boosted models,
• 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.

About The Nielsen Company

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