Business Intel Engineer II, Amazon
Core
Designing automated performance evaluation systems and pipelines for machine learning models to drive transportation cost savings.
Role type
Business Intelligence Engineer (Data Engineering & ML Ops)
Builds
Automated model evaluation pipelines, standardized metrics/KPIs, interactive dashboards, and scalable data processing solutions.
Domain
Transportation logistics, Machine Learning Operations, Data Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, data visualization (Tableau/QuickSight), data modeling, warehousing, ETL pipelines, statistical analysis (R/SAS/Matlab), NoSQL, Redshift, Oracle
Preferred skills
AWS solutions (EC2, DynamoDB, S3), data mining, large-scale complex dataset handling
Technologies
Redshift, Oracle, NoSQL, Tableau, QuickSight, R, SAS, Matlab, Python, SQL, AWS (EC2, DynamoDB, S3)
Responsibilities
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; Collaborate with scientists and software developers to define and implement model quality gates; Build scalable data processing solutions for large-scale model evaluation; Partner with data engineers to ensure data quality and reliability
Seniority
Mid-level, hands-on IC
