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Business Intel Engineer II, Machine Learning & Engineering

Global technology and e-commerce company leading in retail, cloud computing, and artificial intelligence.
Luxembourg
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI · Enterprise SaaS · Logistics

Description For Business Intel Engineer II, Machine Learning & Engineering

Join Amazon's Supply Chain Optimization Technologies team as a Business Intelligence Engineer II focused on Machine Learning & Engineering. In this role, you'll be at the forefront of developing automated performance evaluation systems for machine learning models that drive millions in transportation cost savings. Working at the intersection of data engineering, software development, business intelligence, and ML operations, you'll have a direct impact on Amazon's global transportation network efficiency.

The position offers a dynamic mix of technical work and cross-functional collaboration. Your typical day might involve investigating forecast model performance deviations, building QuickSight visualizations, optimizing SQL queries, and implementing automated metric processing systems. You'll work closely with scientists, data engineers, and business stakeholders to define and implement model quality gates and ensure data reliability.

You'll be part of a diverse team combining scientific expertise with engineering excellence to create automated performance evaluation systems, maintain data quality frameworks, and build scalable monitoring solutions. The team is passionate about using technology to solve complex problems and fosters a collaborative environment where innovation and work-life harmony thrive.

This role is perfect for someone who enjoys working with large-scale data systems, has a strong foundation in both technical and business aspects of data analytics, and wants to make a significant impact on Amazon's transportation infrastructure. You'll have the opportunity to work with cutting-edge technologies and contribute to solutions that directly influence the efficiency of one of the world's largest logistics networks.

Last updated 5 minutes ago

Responsibilities For Business Intel Engineer II, Machine Learning & Engineering

  • Design and implement automated model performance evaluation pipelines
  • Develop standardized metrics and KPIs for measuring model accuracy
  • Create interactive dashboards and visualizations for model performance monitoring
  • Build scalable data processing solutions for large-scale model evaluation
  • Partner with data engineers to ensure data quality and reliability
  • Contribute to the development of performance evaluation platforms
  • Participate in code reviews and software development lifecycle processes

Requirements For Business Intel Engineer II, Machine Learning & Engineering

Python
  • Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL
  • Experience with data visualization using Tableau, Quicksight, or similar tools
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse
  • Experience with Python scripting to process data for modeling
  • Experience in the data/BI space

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