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 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: - 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.