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Senior Delivery Consultant - AI/ML, AWS Professional Services

Amazon Web Services, Inc.

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2,021 open delivery roles across 231 companies are on ApplySarthi right now, most of them in Delhi NCR (51), Hyderabad (48), Bengaluru (45).

What delivery roles keep asking for: AWS (20%) — counted across their open postings here.

AWS jobs · Airflow jobs · CI/CD jobs · Generative AI jobs

Amazon Web Services, Inc. has 1,234 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Interviews for delivery roles keep coming back to AWS. Practise those questions before you sit with Amazon Web Services, Inc..

Questions you are likely to be asked

  1. Why do you want to join Amazon Web Services, Inc.?
  2. What is your experience with MLOps? Tell me one thing you learned the hard way.
  3. How would you explain your model's result to someone who is not technical?
  4. What would you check first if a model's accuracy dropped after going live?
  5. When would you not use machine learning for a problem?

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Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value Basic qualifications: - Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field - 8+ years of building machine learning models or developing algorithms for business application experience - 5+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with understanding of distributed computing (e.g., data pipelines, training and inference, ML infrastructure design) Preferred: - Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines - Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining - Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering) 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, GA, Atlanta - 153,600.00 - 207,800.00 USD annually USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Austin - 153,600.00 - 207,800.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually

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Listed on amazon · posted 2026-09-03. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, Inc., not by us.