ApplySarthi

Applied Scientist, Alexa Edge AI

Amazon

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This role on the market

2,512 open scientist roles across 380 companies are on ApplySarthi right now, most of them in Bengaluru (145), Hyderabad (77), Delhi NCR (27).

What scientist roles keep asking for: Python (63%), Machine learning (51%), SQL (29%), LLMs (20%), Deep learning (18%), C++ (18%), R (18%), Java (15%) — counted across their open postings here.

Applied Scientist jobs in Bengaluru · Applied Scientist jobs in India · Remote Applied Scientist jobs · C++ jobs · Java jobs · Machine learning jobs · NLP jobs

Amazon has 16,716 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for scientist roles keep coming back to Python, Machine learning, SQL, LLMs. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

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Practise the Applied Scientist, Alexa Edge AI at Amazon interview free →

The Alexa Edge AI team is seeking a talented and motivated Applied Scientist to join our newly established team in Bangalore. In this role, you will design, develop, and deploy state-of-the-art machine Basic qualifications: - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) Preferred: - Knowledge of standard speech and machine learning techniques - PhD or work experience in a relevant field (CV, Audio, multimodal language models) Experience with distributed training, model compression, and inference optimization (e.g. pruning, quantization, distillation, etc.) - Demonstrated ability to work in ambiguous, fast-paced environments and define technical roadmaps independently 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 2026-10-09. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.