Senior Machine Learning Operations Engineer, Feature Store Developer - Remote

Overview

Attentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance.

In Short

• Join Attentive's Machine Learning Operations (MLOps) team.
• Build and maintain a foundational ML platform for ML engineers and data scientists.
• Work on the ML data, tooling, serving, and inference layers of the ML platform.
• Unlock access to trillions of data points for ML and Data Science teams.
• Manage and optimize the feature store for ML use cases.
• Support PB scale data operations using Apache Spark and Kafka.
• Collaborate with teams to deliver ML and AI initiatives.
• Drive and influence the architectural roadmap for the ML organization.
• Experience in Data Engineering / MLOps for 5+ years required.
• Deep knowledge of Apache Spark and feature store operationalization.

Requirements

• 5+ years in Data Engineering / MLOps.
• Experience with PB-scale feature stores.
• Proficient in Apache Spark, Spark Streaming, and Ray.
• Understanding of data pipeline performance factors.
• Experience with online and offline ML inferences.

Benefits

• Join a rapidly growing team with significant impact.
• Work with leading global brands.
• Opportunity to influence the architectural roadmap.
• Be part of a recognized fast-growing company.