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Amazon Hiring Fresher Machine Learning Software Engineer

Amazon Consumer Robotics group is pushing the boundaries of what’s possible, making the future closer than ever. Astro is Amazon’s first household robot to use AI and Intelligent Motion to gracefully and intuitively interact with people and spaces. It is a different kind of robot, one that’s designed to help customers with a range of tasks like home monitoring and keeping in touch with family.

Amazon hiring fresher Machine Learning Software Engineer  for the  new advancements in artificial intelligence, computer vision, sensor technology, voice and edge computing in a package that’s designed to be helpful and convenient.

Job Designation : Machine Learning Software Engineer

Salary : 21 LPA – 28 LPA

Qualification :  Bachelor’s Degree

Experience : Freshers / Experienced

Skill Set :

  1. Good knowledge of software products.
  2. Proficeint knowledge in Microsoft Office products and applications.
  3. Good knowledge of cloud platforms AWS.
  4. Familiar with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc.
  5. Passion for language, technology, and AI advancements.
  6. Analytical mindset with the ability to evaluate and interpret data to improve the performance of the system.
  7. Flexibility and Interest to do repetitive tasks is required.
  8. Excellent verbal and written communications skills.
  9. Good analytical and problem solving skills.

Job Description :

  1. Work on defined set of instructions to collect ground truth data for the product development.
  2. Perform execution and report results accurately.
  3. Understand procedures and guidelines for new tasks / releases.
  4. Perform repetitive exercises based on the dynamic instructions without compromising on quality.
  5. Use software tools for data capture and comply with the processes of the organization on a daily basis.
  6. Be comfortable with capturing results, communicating and escalating failures and providing individual status reports and adhering to Productivity and Quality base lines.
  7. Raising all failures/doubts related to the execution in the portal and closing the same as per the SLA’s.
  8. Own the daily targets against internal and external dependencies.

Location : Bengaluru, Karnataka, India

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