Amazon Sr Applied Scientist CETech Science 

United States, Washington, Seattle 

462740412

The types of initiatives you can expect to work on include:- Creating high quality educational content leveraging complex AI techniques to simplify complex product information.
- Building intelligent automation solutions that generate customized bundles, gift guides and warranties personalization at scaleKey job responsibilities- Develop ML/LLM workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure a high bar for the quality of architecture and design of our AIML systems and data infrastructure,
- Leverage AWS AI services and other internal / publicly available external tools & services to accelerate our AI investments in CE Tech,
- Be data-driven and possess a quantitative mindset. Grounded, detail-oriented, always backs up ideas with facts. Understand complex application data flows and bridge the gap between technical and business app requirement,
- Identify state of the art models / solutions to enable new capabilities for code migration and code testing, drive down tech debt and increase operational efficiency,

- 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience with neural deep learning methods and machine learning
- Experience as a mentor, tech lead or leading a science team

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- Experience synthesizing and presenting technical concepts to Tech Director-level leadership