Applied Scientist II, Payment Risk Machine Learning
Amazon
Hyderabad, Telangana, India
Not specified; not specified; not specified
On-site
Machine learning model development
Deep learning implementation
Graph neural networks
The role focuses on combining advanced machine learning techniques to detect negative customer experiences and prevent bad debt across Amazon's global marketplace
Job Summary
The role focuses on combining advanced machine learning techniques to detect negative customer experiences and prevent bad debt across Amazon's global marketplace.
Candidates will design and deploy production-ready models using state-of-the-art approaches like graph neural networks and GenAI-powered investigation agents.
This high-impact position requires collaborating with business leaders to translate complex risk insights into measurable business improvements.
Matching Summary
The role focuses on combining advanced machine learning techniques to detect negative customer experiences and prevent bad debt across Amazon's global marketplace.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Machine Learning Model Development
Deep Learning Implementation
Graph Neural Networks
Anomaly Detection Systems
GenAI and LLM Technologies
Fraud Pattern Analysis
Nice-to-have
Agentic AI System Design
Multi-Agent System Collaboration
Cross-functional Communication Skills
Operational Efficiency Optimization
Real-time Data Processing
Key Requirements
Experience with statistical models and deep learning
Ability to build scalable real-time model solutions
Strong communication skills for non-technical audiences