4 days ago

Associate, ML Data Operations

Amazon

Hybrid
Full Time
₹420,000
Hybrid

Job Overview

Job TitleAssociate, ML Data Operations
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary₹420,000
LocationHybrid

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Job Description

About the Associate, ML Data Operations Role at Amazon

This team plays a crucial role in enabling automation within Amazon Robotics Fulfillment centers. Serving Amazon Internal Fulfillment Technologies & Robotics teams, this role contributes significantly by providing automation support, which includes real-time and offline (image/video) data auditing services. A primary contribution of this team is to support fulfillment centers in maintaining high inventory accuracy.

As an Associate, ML Data Operations, you will meticulously review video footage of stowing actions at a fulfillment center. Your responsibility involves thoroughly understanding the activity and applying human judgment in conjunction with provided tools and resources to accurately indicate the actions captured in the video. You are expected to verify or precisely mark product locations using a specialized tool, consistently maintaining the highest level of accuracy. This process is vital for upholding the fulfillment center's stow quality. This is an operational role, where you will perform precise and thorough video/image audits with high accuracy and speed under general supervision, directly aiding in defect reduction.

Key Job Responsibilities

  • Watch several hundred videos per shift, providing responses that meet accuracy (quality), speed (productivity), and accepted practice goals.
  • Adhere to pre-defined break slots to ensure 6.8 to 7 hours of daily video review time.
  • Maintain a dedicated workspace (table, chair, sufficient lighting) and ensure work-related data is exclusively accessed by you if working from home.

A Day in the Life

Associates work in a 24x7 environment with rotational shifts. A standard shift is 9 hours, including pre-scheduled breaks. Shift timings may adjust every 3-4 months or based on business needs. Night shift allowances will be provided as per Amazon’s applicable work policy. Weekly offs are rotational and comprise two consecutive days, not necessarily Saturday and Sunday, or as per business discretion.

About The Team

The Data Auditing Operations team provides essential human support to Amazon Fulfillment facilities. The overarching goal is to enable hands-free active stowing through visual audits of videos and images. Brief videos (typically 15-20 seconds) detailing products being stored are sent to the Operations Team for human auditing. Associates thoroughly review and audit these videos using their best judgment, which enhances the effectiveness of automated processes and helps maintain stow quality at the fulfillment center. Performance improvements and coaching are integral to this role.

Basic Qualifications

  • Bachelor's degree

Preferred Qualifications

  • Ability to work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.

Key skills/competency

  • Data Auditing
  • Video Analysis
  • Attention to Detail
  • Quality Assurance
  • Operational Efficiency
  • Shift Management
  • Problem Solving
  • Data Accuracy
  • Human Judgement
  • Process Adherence

Tags:

ML Data Operations Associate
video auditing
image analysis
data quality
inventory management
defect reduction
operational efficiency
human judgment
shift work
process improvement
accuracy
machine learning data
AI operations
automation support
visual audit tools
data validation
fulfillment technology
robotics
quality assurance
image processing

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How to Get Hired at Amazon

  • Research Amazon's culture: Study their leadership principles, mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for operations: Highlight experience with data auditing, video analysis, quality control, and working in fast-paced operational environments.
  • Prepare for behavioral questions: Frame your experiences using the STAR method, focusing on situations where you demonstrated attention to detail, problem-solving, and adherence to processes.
  • Understand the role's specifics: Familiarize yourself with the demands of rotational shifts and the importance of accuracy in data operations for ML systems.

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