Manager, Applied Science, Sales AI
Amazon
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This role on the market
1,363 open applied roles across 171 companies are on ApplySarthi right now, most of them in Bengaluru (97), Hyderabad (15), Delhi NCR (7).
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- Manager, Applied AI Architects (Australia)Openai
What applied roles keep asking for: Python (65%), Machine learning (48%), LLMs (39%), Java (33%), C++ (31%), Deep learning (24%), AWS (23%), Generative AI (18%) — counted across their open postings here.
Computer vision jobs · Deep learning jobs · LLMs jobs · Machine learning jobs
Amazon has 16,715 open roles listed here.
- Data Center Logistics Specialist, Data Center Logistics Specialistmumbai
- Applied Scientist II, Detail Pagebengaluru
- Data Engineer, MIDAS, Digital Accelerationchennai
- Data Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Electrical Design Engineer, APAC Data Center Design Engineeringmumbai
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for applied roles keep coming back to Python, Machine learning, LLMs, Java. 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 Machine learning? Tell me one thing you learned the hard way.
- How do you find and qualify new leads?
- What is your target, and how did you do against it last quarter?
- Walk me through a deal you closed, from the first call.
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Practise the Manager, Applied Science, Sales AI at Amazon interview free →Are you excited about leading a team of scientists to solve complex, high-impact problems using machine learning and data-driven approaches? At Amazon Advertising Sales, we are looking for an experienced Basic qualifications: - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of machine learning approaches and algorithms Preferred: - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Experience with autonomous AI services and associated model development - Experience with sequential recommendation, user intent/mission modeling, or behavioral modeling - Experience with LLM training, fine-tuning, or adaptation (e.g., tokenizer modification, domain adaptation) 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 - 183,800.00 - 248,700.00 USD annually
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Listed on amazon · posted 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.