Amazon Machine Learning Engineer MLE II Amazon Q QuickSight 

United States, Washington, Seattle 

311605571

As a Machine Learning Engineer, you will be working on projects that are both ambiguous, interesting and involves a high impact to our customers. You will use machine learning to solve real-life problems our customers face and enable them to make data-driven decisions. You will also envision solutions that help our customers understand how Q answers their questions while also creating new avenues for them to further explore their data. The opportunities are endless!
Work/Life Balance
Mentorship & Career Growth
A day in the life
- Understand business objectives, product requirements and develop ML algorithms that achieve them.
- Build Prototypes, POC to determine feasibility.
- Run experiments to assess performance and improvements.
- Provide ideas and alternatives to drive a product/feature.
- Define data and feature validation strategies
- Deploy models to production systems and operate them including monitoring and troubleshooting

- 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
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing

- 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