Machine Learning Data Associate

Amazon India Limited; Chennai; Sur place; INR 600 000 - 1 000 000; Plein temps

Résumé du poste

Amazon India Limited in Chennai is seeking an ML Data Associate III to design and execute linguistic test cases for validating Quick's NLP features across diverse inputs and edge cases. You will analyze test results with Python and SQL, surface patterns and defect rates, and collaborate with engineers, scientists and PMs to define acceptance criteria and prioritize fixes before releases.

This role emphasizes high quality, attention to detail, and the ability to handle complex annotations and

Qualifications

• 3+ years of experience with Data & AI tech (ML, Analytics, DB/Storage).
• Experience with ML fundamentals, model training and inference lifecycles.
• Bachelor's degree in engineering, CS, ML, OR Data Science/Linguistics.
• Knowledge of linguistic fundamentals and NLP concepts.
• Preferred: Python programming experience.
• Preferred: SQL proficiency.

Responsabilités

• Design and execute linguistic test cases to validate NLP features.
• Develop testing guidelines and rubrics for repeatable evaluation.
• Analyze results with Python and SQL to surface patterns and defect rates.
• Collaborate with engineers, scientists and PMs to define acceptance criteria.
• Handle high-complexity annotations and audits.
• Maintain data quality and manage shifting priorities.

Connaissances

Python

SQL

NLP basics

Data analysis

Formation

Bachelor's degree in Engineering / CS / ML / Data Science / Linguistics

Description du poste

ML Data Associate III

AWS Quick Design and execute linguistic test cases to validate Quick's natural language features across diverse inputs, edge cases, and user scenarios. Evaluate model outputs for accuracy, fluency, and relevance by applying linguistic expertise to identify regressions, hallucinations, and quality gaps. Develop and maintain testing guidelines and rubrics that ensure consistent, repeatable evaluation standards across annotators and test cycles. Analyze test results and report findings using Python and SQL to surface patterns, quantify defect rates, and prioritize issues for engineering teams. Collaborate with engineers, scientists, and PMs to define acceptance criteria, triage language-related bugs, and validate fixes before releases. Work on high complex annotations and audits as needed. Work effectively both independently and as part of a team. Uphold a high bar for quality while delivering accurate work at pace. Apply strong attention to detail and critically assess data quality. Manage competing tasks and adapt quickly to shifting priorities. Take ownership and exercise sound judgment in escalating. Handle highly complex tasks and scale with growing workloads.

About the team

Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

About AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

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Mentorship & Career Growth

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Basic Qualifications

• 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
• Completed a bachelor’s degree in engineering, Computer Science, Machine Learning, Operations Research, Data Science/ Linguistics
• Knowledge of linguistic fundamentals, including handling ambiguity, natural language processing concepts, and query (Q&A) interpretation

Preferred Qualifications

• Experience programming in Python or a related language
• Proficient in SQL

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Experience Level

Mid Level