Amazon

Lead Data Specialist, ML Data Ops

Posted On

March 19, 2025

Location

Bangalore, Karnataka

Experience Level

Freshers/Experienced

Job Type

Database Administration

Apply By

July 1, 2025

Job Description

Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Human Labeled Data (HLD) organization helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services.

Our 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. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.

To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members. If you have what it takes then this is your chance to work hard, have fun, and make history.

Key job responsibilities
As a Lead Data Specialist, ML Data Ops, you will be responsible for meeting operational and business goals overlooking about 30-40 associates, having expertise in one or more processes/functions and proficient in English. You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below:

The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices.

Some of the key result areas include, but not limited to:
- Experience in managing process and operational escalations
- Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal
- Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations
- Communicate and take the lead role in identifying Gaps in process areas and work with all stakeholders to resolve the gaps
- Be a SME for the process and a referral point for peers and junior team members
- Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources
- Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes
- Ability to perform deep dive in the process and come up with process improvement solutions through automation
- Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services- A Bachelor’s Degree and relevant experience of 2+ years as a subject matter expert or similar.
- Intermediate knowledge and hands on experience with MS Excel
- Excellent communication (written & oral) skills with the ability to curate responses for LLM development
- Experience in analytical, problem-solving, and critical-thinking skills
- Comfortable working in a fast paced, highly collaborative, dynamic work environment
- Willingness to support several projects at one time, and to accept re-prioritization as necessary
- Demonstrated leadership with a bias towards action and ownership with strong organizational skills

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