Senior Machine Learning Data Engineer - Remote

Overview

This role focuses on building and integrating data pipelines and enhancing machine learning capabilities within the FinCrime products at MoonPay.

In Short

• Build and integrate data pipelines for real-time data processing.
• Support critical data models for FinCrime products.
• Own the development of the Feature Store for feature engineering.
• Enhance monitoring capabilities with new data alerts.
• Analyze large datasets using SQL and other tools.
• Develop AI-powered automation tools and propose improvements.
• Maintain and improve the existing codebase and ML libraries.
• Work with technologies like Apache Beam, Dataflow, and BigQuery.
• Collaborate in cross-functional squads for agile development.
• Contribute to the company's ML and AI adoption strategy.

Requirements

• Experience in Data Engineering at fintech startups or tech companies.
• Strong fundamentals in machine learning and data modeling.
• Familiarity with the tech stack mentioned or ability to learn quickly.
• Understanding of data structures and big data processing.
• Real-world experience with feature stores.
• Experience with Cloud Native applications like Google Cloud.

Benefits

• Opportunity to work in a rapidly growing tech environment.
• Collaborative and innovative team structure.
• Focus on cutting-edge technology and machine learning.