Amazon Machine Learning Engineer - Generative AI Creative-X 

United States, Washington, Seattle 

92762802

Key job responsibilities
As a MLE in the team you will:- Own end to end deployment at scale of Generative and ML methods.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative approaches to do efficient model deployment and training.
- Document processes and methods for technical and non technical audiences.
- Contribute to code reviews.- Present outcomes and explain approaches to senior leadership.

- 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 with data curation processes.
- - Experience setting up distributed training infrastructure.
- - Familiarity with Deep Learning and Machine Learning models.
- - Experience with Machine Learning Code optimization for efficiency.

- 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
- - Experience handling and organizing video assets.
- - Ideally familiar with Amazon systems and deployment methods for production.