ApplySarthiAI/ML Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team
Amazon Data Services, Inc.
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Skills named in this job
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This role on the market
1,486 open analytics roles across 297 companies are on ApplySarthi right now, most of them in Bengaluru (127), Hyderabad (87), Delhi NCR (53).
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What analytics roles keep asking for: SQL (35%), Python (27%), Tableau (18%) — counted across their open postings here.
AI ML Engineer jobs in the United States · CI/CD jobs · Generative AI jobs · LLMs jobs · LangChain jobs
Amazon Data Services, Inc. has 2,067 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 analytics roles keep coming back to SQL, Python, Tableau. Practise those questions before you sit with Amazon Data Services, Inc..
Questions you are likely to be asked
- Why do you want to join Amazon Data Services, Inc.?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the AI/ML Engineer, Amazon Global Data Center Ops Central Insight and Analytics Team at Amazon Data Services, Inc. interview free →We are looking for an **AI/ML Engineer** to build, deploy, and operate the ML/AI systems that power the agentic decision intelligence workflow we are building. You are the person who takes a model from Basic qualifications: - 3+ years of non-internship professional software development experience - Bachelor's degree in Computer Science, Machine Learning, or related field (or equivalent experience) - 2+ years deploying ML models to production environments - Strong Python proficiency + experience with ML frameworks - Experience with LLM APIs and prompt engineering - Experience with cloud ML services - Experience building data pipelines for ML (feature engineering, preprocessing, training data management) - Solid software engineering fundamentals (testing, CI/CD, code review, production operations) Preferred: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience building RAG systems (vector databases, embedding models, retrieval pipelines) - Experience with agent/orchestration frameworks (LangChain, LangGraph, CrewAI, Bedrock Agents, or custom) - Experience with ML evaluation frameworks (especially for generative AI / LLM outputs) - Experience with time-series ML (forecasting, anomaly detection) - Experience with MLOps tooling (MLflow, SageMaker Pipelines, Step Functions, feature stores) - Experience with infrastructure-as-code (CDK, CloudFormation, Terraform) - Background in operational/infrastructure environments 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 - 143,700.00 - 194,400.00 USD annually
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Listed on amazon · posted 2026-08-25. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Data Services, Inc., not by us.