Applied Science Manager
Amazon
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This role on the market
1,217 open applied roles across 162 companies are on ApplySarthi right now, most of them in Bengaluru (96), Hyderabad (15), Delhi NCR (7).
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- Applied AI ML Lead-AI EngineerJPMorgan · bengaluru
- Applied AI ArchitectAnthropic
What applied roles keep asking for: Python (67%), Machine learning (49%), LLMs (39%), Java (34%), C++ (33%), AWS (25%), Deep learning (24%), Generative AI (20%) — counted across their open postings here.
C++ jobs · Generative AI jobs · Java jobs · LLMs jobs
Amazon has 15,628 open roles listed here.
- Executive- Licenses & Permits, Real Estatebengaluru
- Business Intelligence Engineer II, Prime Video APAC and ANZ Analytics Teammumbai
- System Development Engineer, UTR Tech in Last Miledelhi ncr
- Software Development Engineer , AWS & Ads Performance Benchmarksbengaluru
- Data Center Engineering Operations Engineer, HYD-Infinity - DCEOhyderabad
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 LLMs? 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 Science Manager at Amazon interview free →Help authors around the world publish their books, reach readers, and get help when they need it. You'll build and lead our first science team in Bengaluru and shape the assistant authors turn to for answers Basic qualifications: - Master's degree, or PhD - 3+ years of scientists or machine learning engineers management experience - 6+ years of building machine learning models or developing algorithms for business application experience - Experience programming in Java, C++, Python or related language Preferred: - Experience building large language model (LLM)-based agents or multimodal generative AI workflows, including tool use, planning, retrieval-augmented generation, or vision-language models - Experience fine-tuning or post-training models, including with reinforcement learning - Experience with natural language processing (NLP), statistics, data mining, or large-scale retrieval, embeddings, and ranking - Experience evaluating generative AI systems, such as LLM-as-a-judge, human-calibrated audits, or online A/B testing - Experience building a new team, including hiring across several levels - Experience leading teams that deliver complex software systems to customers, including teams that use AI coding agents with safeguards such as automated tests and code review - PhD in computer science, machine learning, statistics, or a related quantitative field, or publications at top-tier peer-reviewed venues (for example ACL, EMNLP, NeurIPS, ICML, CVPR, KDD) or patents 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 2026-11-02. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.