3 days ago

Associate, ML Data Operations

Amazon

Hybrid
Full Time
₹450,000
Hybrid

Job Overview

Job TitleAssociate, ML Data Operations
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary₹450,000
LocationHybrid

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Job Description

About the Role: Associate, ML Data Operations

This team is instrumental in enabling automation within Amazon Robotics Fulfillment centers, serving Amazon's Internal Fulfillment Technologies & Robotics teams. A key contribution of this team involves supporting fulfillment centers in maintaining inventory accuracy through real-time and offline (image/video) data auditing services.

Key Responsibilities

  • Watch and thoroughly understand video footage of stowing actions at fulfillment centers.
  • Utilize human judgment, tools, and resources to accurately indicate activities captured in videos.
  • Verify or mark product locations via a tool, ensuring the highest level of accuracy to maintain stow quality.
  • Perform precise and thorough video/image audits with high accuracy and speed to aid defect reduction.
  • Process several hundred videos per shift, adhering to goals for accuracy, speed, and acceptable practices.
  • Maintain 6.8 to 7 hours of active video auditing per day, with pre-defined breaks.

Candidate Expectations

  • Willingness to undertake a non-tech, operational role for a 6-month contract.
  • Ability to audit image, video, and text-based jobs effectively.
  • Capacity to identify details from blurry or less sharp videos, providing correct responses.
  • Demonstrates a high level of attention and focus on screen.
  • Preparedness to meet incremental targets/goals related to quality and productivity.
  • Capable of fast implementation and consistent performance.
  • Flexibility to work in rotational shifts, including night shifts, and as part of remote teams.
  • Exceptional team player skills.
  • Readiness to report to the office for a few days when required (applicable for remote associates).
  • Willingness to have laptop camera on during virtual meetings.

A Day in the Life

Associates operate in a 24x7 environment with rotational shifts, typically 9 hours including pre-scheduled breaks. Shift timings may adjust every 3-4 months or as per business needs. Night shift allowances are provided as per Amazon's policy. Weekly offs are rotational, consisting of two consecutive days, not necessarily Saturday and Sunday.

About the Team: Data Auditing Operations

The Data Auditing Operations team provides crucial human support to Amazon Fulfillment facilities, aiming to enable hands-free active stowing through visual audits of videos and images. Associates review brief videos (15-20 seconds) detailing products stored at fulfillment centers, auditing them with expert human judgment. The effectiveness of automated processes is enhanced by these audited videos, contributing significantly to maintaining stow quality. 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
  • Image Processing
  • Operational Excellence
  • Attention to Detail
  • Accuracy
  • Productivity
  • Problem Solving
  • Inventory Management
  • Machine Learning Operations

Tags:

ML Data Operations Associate
data auditing
video analysis
image processing
operational support
inventory accuracy
quality control
defect reduction
human judgment
shift work
productivity
machine learning operations
automation
data verification
robotics support
fulfillment technology
video tools
data quality
visual inspection
AI support

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How to Get Hired at Amazon

  • Research Amazon's culture: Study their mission, leadership principles, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume and cover letter to highlight experience in data operations, attention to detail, and working in fast-paced environments, matching keywords from the Associate, ML Data Operations description.
  • Showcase your operational skills: Emphasize your ability to work with precision, maintain high productivity, and adapt to rotational shifts and remote work.
  • Prepare for behavioral interviews: Practice answering questions using the STAR method, focusing on Amazon's 16 Leadership Principles, especially Ownership, Bias for Action, and Deliver Results.
  • Demonstrate problem-solving aptitude: Be ready to discuss how you identify details from imperfect data and apply logical judgment under pressure.

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