Amazon vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure.

Amazon looking for highly motivated and talented Machine Learning Data Associate who will provide and/or review high quality data annotation for variety of workflows. The ideal candidate must demonstrate strong analytical & communication skills, attention to details, and a commitment to excellence.

Job Designation : Machine Learning  Data Associate

Qualification : Bachelor’s Degree

Experience : Freshers

Skill Set :

  1. Good knowledge of software products.
  2. Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc.
  3. Familiarity with online retail (e-commerce).
  4. Strong organizational skills and demonstrated ability to multi-task.
  5. Ability to deliver high-quality work within tight timelines.
  6. Excellent communication, interpersonal and problem-solving skills.

Job Description :

As a Data Associate I, ML, you will be responsible for providing timely and quality data annotation for a variety of workflows. The tasks therefore will be repetitive in nature and will require the candidate to make quick decisions keeping in mind the provided guidelines.

  1.  Meets business metrics and goals, i.e., SLA, production, and quality targets.
  2. Works with minimal direction.
  3. Maintains records of day- to-day work by updating trackers or workflow tools as necessary.
  4. Follows SOP/guidelines or manager’s instructions and ensures output is quality compliant.
  5. Contributes to project improvement and operational excellence ideas, as applicable.
  6. Responsible for giving timely responses to stakeholders on related tasks with guidance, i.e., as per SOP and defined SLA.
  7. Proactively raises issues /alarms that may have an impact on core deliverables or operations to manager or stakeholders.
  8. Analyzes data and evaluate trends/ patterns and recommend generic pattern to be translated into rules.
  9. Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products.
  10. Troubleshooting issues related to process and conduct root cause analysis if required.

Location : Bengaluru, Karnataka, India

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