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# AI/ML Consultant, AWS Professional Services

- **Company:** Amazon.com, Inc.
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Machine Learning, Azure Machine Learning, Git, Information Technology, Docker
- **Published:** July 18, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27861755/Ai-Ml-Consultant-Aws-Professional-Services-Washington-Perth-7375

## About the Role

Bachelor's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields

 - Experience with AWS or cloud technologies
 - 3 to 5 years of experience as a data scientist with experience building ML model and prompting GenAI model, Master's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
 - Deep technical skills and business savvy, able to collaborate with a wide range of clients, from business to engineering
 - Skills in creating experimental plans to iteratively develop AI and GenAI solutions, and the ability to accurately determine cause-and-effect relationships using baselines.
 - Experience consulting with customers (including user departments) on their AI and GenAI needs.

## Description

Accurately understand the customer's business challenges and needs, structure the problems, and organise them as business requirements.

 - Extract the IT requirements necessary to realise the business requirements and select candidate AI/ML services and algorithms. In addition, you will work with specialist roles in related technical fields to build and verify ML solutions, as wellas help develop an architecture that combines the necessary AWS services for achieving the customer's goals.
 - Assist our customer on developing ML and GenAI projects from start to finish, providing technical sales support, conducting exploratory data analysis, building and validating ML and/or GenAI solutions, deploying validated solutions on their supporting infrastructure, and providing training to our customers.
 - Collaborate with ML Engineers Cloud Architect and Application Developer to build a production ready ML or GenAI solution
 - To support the above, you will work with a wide range of IT tools, including AWS services (e.g. Amazon Bedrock, Amazon Sagemaker, Amazon AgentCore), Git and Docker, as well as with a range on Ml and GenAI framework such as Strands-Agents, pytorch, transformers, etc


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