Applied Scientist II, Amazon Recommerce India
Core
Build and adapt machine learning models to recover value from returned products in India by predicting salability, detecting defects/fraud, routing inventory, and optimizing pricing.
Role type
Senior Applied Scientist (ML)
Builds
Automated returns grading, computer-vision defect detection, disposition routing, and dynamic pricing models for the ReCommerce network.
Domain
E-commerce / Logistics / Computer Vision / Optimization
Deliverable
production ML models
Required skills
model building for business applications, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python, GenAI/LLM tooling
Responsibilities
Build ML models for automated returns grading; develop computer-vision models for defect detection and fraud identification; build disposition-prediction and routing models; develop pricing and recovery-optimization models; adapt Worldwide ML models to India's specific data and operational constraints; own the full model lifecycle from framing to production deployment.
Seniority
Senior, hands-on IC