Amazon Recruitment 2023 for Device Associate | B.E/B.Tech/MCA/M.Sc | Bangalore/Chennai

• B.E, B.Tech, BS in Computer Science, Master of computer Applications (MCA), MSc Information Technology (IT).
• Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required.
• Minimal relevant QA experience.
• Strong knowledge of QA methodology.
• Ability to understand technical specifications.

Preferred Qualification: Fresher or Candidates with 1 or 2 years of QA experience.

Key job responsibilities:

• Execute test cases prepared for testing Software builds on the Desktop and Mobile platforms for Amazon Assistant Products
• Perform test case execution and report bugs accurately
• Understand testing procedures and guidelines for new builds / releases.
• Perform regression and repetitive testing exercises to qualify builds without compromising on quality
• Use software tools for data capture on a daily basis like adb command.
• Be comfortable with capturing results, communicating and escalating failures and providing individual status reports
• Raising all failures/doubts related to the execution of test cases in the clarification portal and closing the same as per the SLA’s
• Basic knowledge of reading scripts for trouble shooting.

• 1+ years of software development, or 1+ years of technical support experience
• Experience troubleshooting and debugging technical systems
• Experience scripting in modern program languages

Preferred Qualification: 

• Strong knowledge of the computer science fundamentals and good understanding of distributed software systems.
• Experience in automating select systems administration tasks through creation and maintenance of scripts and tools
• Exposure to AWS technologies, Amazon tooling (pipelines, bindles etc) is a strong plus.

Description:

• As a Support Engineer, you will be involved in building cross-border fulfilment solutions for 3P Merchants catering to Global Selling and Out-of-Country use cases, partnering with WW Platform teams.

• Currently enrolled in degree program (Bachelor’s or MS or Ph.D.) in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, ASR, deep learning, computer vision, data science or related fields.
• Strong working knowledge of programming languages such as C/C++, Java, or Python (SciPy, RPy2, etc).
• Practical machine learning experience

Preferred Qualification: 

• Research experience related to machine learning, deep learning, NLP, computer vision, data science
• Published and/or presented papers at ICASSP, ICML, NIPS, KDD, CVPR or similar top-tier conferences and events

Description:

• As an Applied Scientist, you will bring statistical modeling and machine learning advancements to data analytics for customer-facing solutions in complex industrial settings.
• You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field.
• You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products.