Amazon Machine Learning Engineer JP Science Data 

Japan 

363300626

You will work directly with Applied Scientists to productionize ML models, Software Development Engineers to build scalable infrastructure, Data/BI Engineers to implement scalable ML-ready data pipelines, and Product Managers to drive the roadmap and vision for Paid Services. As a member of the team you will also work with vendors, team members, and internal and external partners to give input into the way we work, how we serve customers, and where we invest in future capabilities.
Key job responsibilities
The MLE is accountable for:(2) Implement efficient data pipeline and architectures that enable automated ML workflows for our eCommerce partners
(3) Build ML debugging and analysis tools to ensure model reliability and performance

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Familiar with the life cycle of a ML model. I.e., trained, customized, tuned and validated ML models that are leveraged in a science application.
- Strong understanding of statistics and math

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent