Sr Applied Scientist, Amazon Recommerce India
Core
Build and adapt machine learning models to recover value from returned inventory in India by predicting salability, detecting defects/fraud, and optimizing disposition and pricing.
Role type
Senior Applied Scientist (Computer Vision & Predictive Modeling)
Builds
Automated returns grading, defect detection, disposition routing, and dynamic pricing models for the ReCommerce network.
Domain
E-commerce / Logistics / Computer Vision / Predictive Analytics
Deliverable
production ML models
Required skills
Machine learning model development, neural deep learning methods, computer vision, data pipeline construction, feature engineering, model evaluation and monitoring, cross-functional partnership
Preferred skills
Large scale distributed systems, modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy)
Technologies
Java, C++, Python, Spark, Hadoop, Tensorflow, MxNet
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