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Amazon Software Development Engineer Computer Vision AI ML_AI 
United States, Washington, Bellevue 
668275916

12.06.2024
DESCRIPTION

In 'Rekognition' we offer a service that makes it easy to add image and video analysis to applications. Rekognition APIs enables you to quickly add sophisticated visual search, image classification, face recognition and much more to your applications.Key job responsibilities
You'll work with applied scientists and engineers within Amazon AI and develop high quality software that is robust and reliable.We'll be looking at you to help:
· Drive software engineering best practice while designing the world's foremost distributed and scalable systems.
· Develop and deploy cloud software framework for computer vision processing
· Design and develop innovative REST APIs and SDKs to deliver computer vision and machine learning capabilities
· Provide technical leadership and contribute to the definition, development, integration, test, documentation, and support of Java and Python software
· Be responsible for the architecture of software solutions, determining current limitations and compatibility between subsystems, the selection of new concepts and methodology, and the development of major routines and utilities.
· Create new feature and performance improvements
· Prepare technical requirements and software design specifications.
· Instill best practices for software development and documentation, making sure designs meet requirements, and delivering high quality software on tight schedules.Bellevue, WA, USA

BASIC QUALIFICATIONS

- 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


PREFERRED QUALIFICATIONS

- 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