Hello, aspirants if you are searching for an internship with a recognized Company then you are reading the right post. Amazon is hiring Interns. Please refer to the mentioned Job Description and Candidate profile for the same.
BASIC QUALIFICATIONS –
Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
PREFERRED QUALIFICATIONS –
Excellent communication and analytical skills – Deal well with ambiguous/undefined problems; ability to think abstractly – Experience in any of the following will be beneficial — Ecommerce — Cloud-based deployment and operation — Service-oriented architectures — Common Enterprise Integration Pattern.
Description –
Amazon is looking for a talented Software Engineer with image processing and computer vision experience. The candidate will be part of a strong, high performing team that is building a computer vision platform to enrich the user experience by bringing down the turnaround time from weeks to seconds using Image processing, computer vision, neural networks, and cutting edge algorithms for text/object detection and recognition.
As a Software Development Engineer, you will –
- Build robust solutions to some of the challenging text/image detection and recognition problems in computer vision and continuously improve the performance of existing algorithms.
- Involve in extensive research and problem-solving that spans a number of areas including computer vision, machine learning, image processing, distributed and mobile computing.
- Define systems specs, design and iterate on early prototypes, and help create a novel user experience.
- Maintain substantial knowledge of state-of-the-art principles and theories related to computer vision and also participate in the development of the intellectual property.
- Serve as Developer in the vision area and work closely with other research engineers, software engineers, product managers and QA personnel to create high quality and high performing solutions.
- Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more start-up than a big company.
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