ApplySarthi

Senior AI/ML Consultant, AWS Professional Services

Amazon Web Services

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3,197 open services roles across 259 companies are on ApplySarthi right now, most of them in Bengaluru (139), Delhi NCR (69), Hyderabad (65).

What services roles keep asking for: AWS (19%) — counted across their open postings here.

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Amazon Web Services has 2,164 open roles listed here.

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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. How did you know your model was actually good, and not just good on your test set?
  4. Tell me about a time the data was messy or wrong. What did you do?
  5. How would you explain your model's result to someone who is not technical?

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As a Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation Basic qualifications: - Bachelor's degree, or experience in a professional field or military - Experience as technical specialist in design and architecture - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in software development with object oriented language - Experience in cloud based solution (AWS or equivalent), system, network and operating system - Experience in external or internal customer facing, complex and large scale project management - Experience building complex highly-scalable systems that involve predictive models or applications of machine learning - Experience in data and machine learning engineering and cloud native technologies - Eligibility for the UK Security Clearance Preferred: - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD - Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3 - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation - Experience creating and delivering written and oral communications for technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet 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. 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.

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Listed on amazon · posted 2026-09-08. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.