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Ai/ml consultant, aws professional services

Melbourne
Amazon Web Services (AWS)
Posted: 18 March
Offer description

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer‐first approach is how we built the world's most adopted cloud. Join us and help us grow.

Key Job Responsibilities

* 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. Work with specialist roles in related technical fields to build and verify ML solutions, and help develop an architecture that combines the necessary AWS services for achieving the customer's goals.
* Assist customers in 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.
* Work with a wide range of IT tools, including AWS services (e.g., Amazon Bedrock, Amazon SageMaker, Amazon AgentCore), Git and Docker, and ML and GenAI frameworks such as Strands‐Agents, PyTorch, and transformers.

Basic Qualifications

* Experience with AWS or cloud technologies.
* Bachelor's degree or equivalent experience in fields such as machine learning, operations research, applied mathematics, engineering, or natural science.
* 5 to 8 years of experience as an ML Ops engineer.

Preferred Qualifications

* Deep technical skills and business savvy, able to collaborate with a wide range of clients, from executives to engineers.
* Skills in deploying MLOps infrastructure and setting up platform components needed for Agentic and GenAI enterprise deployments.
* Experience consulting with customers (including user departments) on their AI and GenAI needs.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Company – Amazon Web Services Australia Pty LtdJob ID: A10410756

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