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Sr Delivery Consultant- GenAI/ML & Data Science, Professional Services, AWS Industries

Amazon Web Services

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This role on the market

146 open industries roles across 11 companies are on ApplySarthi right now, most of them in Bengaluru (5), Hyderabad (4), Mumbai (3).

What industries roles keep asking for: AWS (60%), System design (21%), Generative AI (18%), Machine learning (12%) — counted across their open postings here.

AWS jobs · Deep learning jobs · Elasticsearch jobs · Generative AI jobs

Amazon Web Services has 2,390 open roles listed here.

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

Preparing for this interview

Interviews for industries roles keep coming back to AWS, System design, Generative AI, Machine learning. Practise those questions before you sit with Amazon Web Services.

Questions you are likely to be asked

  1. Why do you want to join Amazon Web Services?
  2. What is your experience with AWS? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to Basic qualifications: - 7+ years of external or internal customer facing, complex and large scale project management experience - Bachelor's degree, or 7+ years of professional or military experience - 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience - 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python) Preferred: - PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience) - Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred - Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training - Experience with Data Analytics, Data Engineering, Coding, Automation and Scripting (e.g., Terraform, Python) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences - Experience with Telecom industry and company operation - Migration and modernization experience preferred 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, Dallas - 153,600.00 - 207,800.00 USD annually USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

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Listed on amazon · posted 2026-10-14. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.