Senior Applied Scientist, International Machine Learning
Amazon
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This role on the market
443 open international roles across 80 companies are on ApplySarthi right now, most of them in Bengaluru (25), Hyderabad (10), Mumbai (3).
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Applied Scientist jobs in Bengaluru · Applied Scientist jobs in India · Remote Applied Scientist jobs · C++ jobs · Deep learning jobs · Hadoop jobs · Java jobs
Amazon has 14,204 open roles listed here.
- Controls Technician, Controls Deployment & Service Indiahyderabad
- Applied Scientist II, RBS Techbengaluru
- Data Scientist II, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Investigation SME, Flex Investigations and Offboardinghyderabad
- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
443 open international roles are hiring right now across 80 companies, mostly in Bengaluru — 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 Machine learning? Tell me one thing you learned the hard way.
- 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?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the Senior Applied Scientist, International Machine Learning at Amazon interview free →Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want Basic qualifications: - 7+ years of building machine learning models for business application experience - PhD, or Master's degree - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 2026-07-21. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.