Senior Applied Scientist, International Machine Learning
Core
Build and deploy advanced algorithmic systems using machine learning and statistical techniques to optimize millions of transactions and solve real-world business problems for Amazon's India Consumer Businesses.
Role type
Senior Applied Scientist (International Machine Learning)
Builds
Scalable ML models, predictive learning systems, and automated processes for large-scale data analysis.
Domain
E-commerce / Retail / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, statistical techniques, neural deep learning methods, Java, C++, Python, large-scale data analysis, model deployment, mentoring
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, large-scale distributed systems (Hadoop, Spark)
Technologies
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Design, develop, evaluate, and deploy innovative and highly scalable ML models; Analyze and extract relevant information from large amounts of historical business data to automate and optimize key processes; Work closely with software engineering teams to drive real-time model implementations; Establish scalable, efficient, automated processes for large scale data analyses, model development, validation, and implementation; Mentor other scientists and engineers in the use of ML techniques.
Seniority
Senior, hands-on IC with mentorship responsibilities
