Delivery Consultant - AI/ML, AWS Professional Services
Amazon Web Services
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This role on the market
2,188 open delivery roles across 189 companies are on ApplySarthi right now, most of them in Bengaluru (61), Delhi NCR (58), Hyderabad (43).
- Senior Delivery Lead - DACHCamunda
- CS Delivery Station Liaison Amazon
- AES - Delivery - Digital Test Automation EngineerZensar · bengaluru
- Delivery Driver - Pharmacy ServicesCardinalhealth
- Digital Campaign Delivery SpecialistRoche
What delivery roles keep asking for: AWS (20%), Agile (15%), Stakeholder management (15%) — counted across their open postings here.
Delivery Consultant jobs in the United States · AWS jobs · Airflow jobs · CI/CD jobs · Generative AI jobs
Amazon Web Services has 2,334 open roles listed here.
- Sr. Program Manager, Global Warehouse Ops, Physical Stores Tech-JWO Tech Deployment-3P
- Supply Chain Business Development Manager, Auto & Manufacturing Industry Specialists and Solutions
- Associate Engagement Manager, Professional Services A2C Delivery, AWS ProServe A2C - VARbengaluru
- Associate Delivery Consultant, - AIML, Professional Services A2C Delivery, AWS ProServe A2C - VARbengaluru
- Enterprise Account Manager , Conglomorate, Conglomoratemumbai
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, Agile, Stakeholder management. Practise those questions before you sit with Amazon Web Services.
Questions you are likely to be asked
- Why do you want to join Amazon Web Services?
- What is your experience with MLOps? 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.
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Practise the Delivery Consultant - AI/ML, AWS Professional Services at Amazon Web Services interview free →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 - 131,300.00 - 177,600.00 USD annually USA, IL, Chicago - 131,300.00 - 177,600.00 USD annually USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually USA, NY, New York - 144,500.00 - 195,400.00 USD annually USA, TX, Austin - 131,300.00 - 177,600.00 USD annually USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually
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Listed on amazon · posted 2026-10-05. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, not by us.