ApplySarthiAI Language Engineer II, Alexa for Shopping Lang-Tech
Amazon
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This role on the market
286 open language roles across 28 companies are on ApplySarthi right now, most of them in Mumbai (3), Delhi NCR (3), Bengaluru (3).
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AWS jobs · Linux jobs · Machine learning jobs · NLP jobs
Amazon has 14,204 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
286 open language roles are hiring right now across 28 companies, mostly in Mumbai — so the questions repeat. Practise them before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with NLP? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the AI Language Engineer II, Alexa for Shopping Lang-Tech at Amazon interview free →The Conversational Shopping team is looking for an AI Language Engineer to drive innovation and scalable solutions as it delivers a delightful AI-assisted shopping experience. This is an opportunity to Basic qualifications: - Experience with Unix tools - Experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience in a fast paced, dynamic organization - Experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines - Master's Degree in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or related field. - Experience with Large Language Models, NLP, or Machine Learning. - Experience with Python libraries for data analysis such as pandas and scikit-learn. - Familiarity with AI coding assistants. Preferred: - PhD in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or related technical field. - Experience with SQL and Git. - Experience building RAG or agentic systems. - Experience conducting quantitative analysis. - Experience building data pipelines. - Experience with AWS services (Bedrock, S3, EC2, etc.). - Knowledge of user experience concepts and methods. - Familiarity with online retail (e-commerce). Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.
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Listed on amazon · posted 2026-07-08. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.