Applied Scientist II, RBS Tech
Amazon
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This role on the market
2,022 open scientist roles across 271 companies are on ApplySarthi right now, most of them in Bengaluru (133), Hyderabad (69), Delhi NCR (33).
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What scientist roles keep asking for: Python (48%), Machine learning (37%), SQL (22%), C++ (18%), Java (17%), Deep learning (14%), R (13%), LLMs (13%) — counted across their open postings here.
Applied Scientist jobs in Bengaluru · Applied Scientist jobs in India · Remote Applied Scientist jobs · Computer vision jobs · Deep learning jobs · Generative AI jobs · Machine learning jobs
Amazon has 14,204 open roles listed here.
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- Associate, ML Data Operations, GO-AI Operationskolkata
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, C++. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Computer vision? Tell me one thing you learned the hard way.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
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Practise the Applied Scientist II, RBS Tech at Amazon interview free →RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms Basic qualifications: - PhD, or Master's degree - 1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields. - Should be an expert in either Computer Vision or NLP and have a good understanding of the both. - Excellent communication skills Preferred: - Post Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in ML, NLP or Computer Vision. - Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams. - Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. - Solid understanding of machine learning, deep learning algorithms and computational complexity. - Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis. 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 2026-09-28. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.