About This Opportunity
Design and execute linguistic test cases to validate Quick's natural language features across diverse inputs, edge cases, and user scenarios.Evaluate model
This listing is organized to help candidates compare the role, location, experience level and application source before visiting the employer or source website. Final eligibility, salary, selection process and deadlines should be confirmed from amazon.jobs.
Skills And Responsibilities
- 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 - 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 - Experience programming in Python or a related language- Proficient in SQLOur 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.
How To Apply
- Read the summary, experience requirement, location and deadline on this page.
- Open the official application/source link for the final employer instructions.
- Prepare an updated resume, education details, work samples if relevant, and identity documents only when requested by the official process.
- Apply only through the official source. Do not pay registration fees or share OTPs, banking passwords or UPI PINs.
Eligibility Notes
Candidates should compare their qualification, experience, skills, location preference and availability with the official job description. If a requirement is not clearly mentioned here, treat it as employer-specific and verify it on the source page.
Candidate Guidance
ML Data Associate III, AWS Quick at Amazon should be evaluated by matching the role title, category, location and experience requirement with your resume before applying.
- Candidate fit: this IT Jobs is best for applicants who can show relevant skills, projects or work experience connected to the role.
- Experience check: compare your profile with 3+ yrs; if you are a fresher, highlight projects and internships, and if experienced, show measurable work outcomes.
- Location/work mode: verify whether IN, TN, Chennai is onsite, hybrid, remote, rotational shift or relocation-based on the official source page.
- Application safety: use the official application/source link, avoid registration fees and do not share OTPs, bank details or original documents through unofficial channels.
Before Applying, Check
- Does my resume clearly show the skills required for this role?
- Have I checked the official source page for the latest eligibility and location details?
- Do I understand the interview process, work mode and joining requirements?
- Is the application link asking only for normal job-application information?