Amazon Sr SDE L6 ML Ops 

United States, Washington, Seattle 

364047108

Key job responsibilities
In this role you will leverage your engineering background and expertise in ML to lead developing platforms for deploying, productionalizing, and scaling machine learning models, with a focus on variant retraining and ongoing model monitoring.A day in the life
- Lead the design and implementation of a stable and efficient training and inference infrastructure that scales to support a variety of different machine learning models.- Quickly learn the ins and outs of AWS infrastructure’s rack planning and forecasting distributed workflows, and engineer solutions to make these systems more robust, fault-tolerant, and efficient across input and output orgs.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in machine learning or equivalent
- Experience with developing state-of-the-art, best practice MLOps tooling and frameworks