Amazon Applied Scientist II Amazon Business 

India, Telangana, Hyderabad 

774813363

In this role, you will be a technical expert with significant scope and impact. You will work with Product Managers, Software Engineers, Data Engineers, and other Applied Scientists, to build new and enhance existing ML models to optimize customer experience. A successful Applied Scientist at Amazon has extreme bias for action and operates in a startup environment, with outstanding leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. We need great leaders to think big and design new solutions to solve complex problems using machine learning (ML) and natural language processing (NLP) techniques to improve our customers’ experience when using AB.
Key job responsibilities - Identify data requirements, build methodology, and develop statistically grounded tools and solutions using machine learning (ML) and LLM
- Drive projects from ideation to execution with an emphasis on bias for action. A day in the life - Collaborate with product and engineering teams to understand business requirements and translate them into technical solutions
- Conduct in-depth data analysis and feature engineering to build robust ML models
- Prototype and test new ideas, iterate quickly, and deploy models to production
- Monitor model performance, troubleshoot issues, and continuously optimize models

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience in professional software development