Machine Learning Scientist - GenAI, KIT
Amazon Web Services
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This role on the market
2,031 open scientist roles across 269 companies are on ApplySarthi right now, most of them in Bengaluru (133), Hyderabad (72), Delhi NCR (32).
- Applied Scientist II, RBS TechAmazon · bengaluru
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- Full-Stack AI Engineer / Data Scientist – Agentic SystemsRoche · hyderabad
- AI Research ScientistAutodesk
- Data ScientistHp
What scientist roles keep asking for: Python (49%), Machine learning (37%), SQL (23%), C++ (18%), Java (17%), Deep learning (14%), R (14%), LLMs (13%) — counted across their open postings here.
Machine Learning Scientist jobs in the United States · AWS jobs · C++ jobs · Java jobs · Machine learning jobs
Amazon Web Services has 2,200 open roles listed here.
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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 Web Services.
Questions you are likely to be asked
- Why do you want to join Amazon Web Services?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Machine Learning Scientist - GenAI, KIT at Amazon Web Services interview free →At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it and help customers adopt best practices while architecting Basic qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred: - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in professional software development 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
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Listed on amazon · posted 2026-08-13. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.