Are you interested in shaping the future of computer vision? Do you want to define the next generation Artificial Intelligence that will understand what is in a picture or a video? Do you want to build customer-facing solutions using deep learning and other ML technologies?
Amazon Web Services (AWS) is seeking an innovative and results-oriented Software Development Engineer in our Rekognition team. Amazon Rekognition (https://aws.amazon.com/rekognition/) provides deep learning-based image and video recognition. It is a service that makes it easy to add image and video analysis to applications. Rekognition APIs enable you to quickly add sophisticated visual search, image classification, face recognition and much more to your applications.
We are seeking a Software Engineer that is a technology leader and demonstrates exemplary practice in design and implementation of new scalable services. You will lead technology areas that drive solutions for a super solid, scalable, efficient, and extremely fault tolerant service. You are a thought leader in influencing our overall strategy by helping define the product features, driving system architecture, and spearheading the best practices that enable a quality product. You are passionate about solving some of the hardest engineering challenges in distributed systems at massive scale on an ongoing basis and have a demonstrable track record for delivering successful products. Your solutions will be rolled out to millions of customers across the world.
This hands-on position requires broad engineering competence and in-depth technical knowledge of service engineering, as well as demonstrated experience successfully planning, organizing, and conducting software development projects in a dynamic environment.
If you are a talented, detail-oriented and enthusiastic software professional who is passionate about new technologies including big data, computer vision, and machine learning, then this is the right team for you.
* 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 * Integrate computer vision capabilities with other cloud services * 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. * 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.
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