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Senior Delivery Consultant - AI/ML, Professional Services

Amazon Web Services

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This role on the market

2,537 open delivery roles across 232 companies are on ApplySarthi right now, most of them in Bengaluru (66), Delhi NCR (59), Hyderabad (43).

What delivery roles keep asking for: AWS (20%), Stakeholder management (17%), Agile (16%) — counted across their open postings here.

AWS jobs · Generative AI jobs · IAM jobs · Java jobs

Amazon Web Services has 2,227 open roles listed here.

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

Preparing for this interview

Interviews for delivery roles keep coming back to AWS, Stakeholder management, Agile. 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. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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 Senior Delivery Consultant - AI/ML, Professional Services at Amazon Web Services interview free →

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: - Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience - 6+ years experience in the industry as a ML practitioner with hands-on and implementation of ML systems; building, validating and deploying GenAI models - 8+ years of professional experience in a business environment; experience of IT platform implementation in a highly technical or analytical role - 6+ years experience of handling large datasets and strong software development skills with proficiency in one or more programming languages including Python and one additional language e.g., TypeScript, Java - Strong understanding of DevOps practices with practical hands-on application and strong interest in AI/ML solutions Strong verbal and written communications skills and ability to lead effectively across organizations Preferred: - Experience scripting for automation (e.g., Python, Perl, Ruby) - 5+ years AWS experience preferred, with proficiency in a wide range of AWS services (e.g., Bedrock, Sagemaker, EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) and Generative AI trends, patterns, anti-patterns - 5+ years Application Development experience required with serverless technologies and experience training distributed ML models on CPU and GPU hardware - Serving ML models through realtime APIs and experience with deploying production-grade machine learning solutions on public cloud platforms - Knowledge of vertical use cases for large language models in industries like finance, healthcare, manufacturing, etc. - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d 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. null

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Listed on amazon · posted 2026-10-16. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.