In-Demand Ai/ml architect Jobs in Melbourne, Vic

AI/ML Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- Master's degree
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Senior Software Engineer
iSelect —Melbourne VIC
- Full-time
- AWS
- Software development
- APIs
Solution Designer – Melbourne
iGreenData —Melbourne VIC
- Full-time
- No degree
- AI
- Communication skills
- Health insurance
Lakebase Specialist Sales
Databricks —Melbourne VIC
- Azure
- Sales
- Databases
Senior AI Platform Engineer
Sportsbet —Melbourne VIC
- Full-time
- Hybrid work
- AWS
- APIs
- AI
- Annual leave
- On-the-job training
Senior Solution Architect (Pre-Sales)
OutSystems —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- Education
- Bachelor's degree
- Health insurance
- Annual leave
Project and implementation Engineer
FYFE —Melbourne VIC
- Azure
- Management
- SharePoint
- Paid training
- Parental leave
Customer Solutions Manager, ANZ
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- Business development
Senior Architect - AWS
Datacom —Melbourne VIC
- Full-time
- Hybrid work
- AWS
- Bachelor's degree
- No degree
- Health insurance
- Employee discount
Quick Apply
Solutions Architect Financial Services, AWS Global Sales, Financial Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Software development
- Financial services
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Advisory Solutions Principal
Dell Technologies —Melbourne VIC
- Full-time
- Remote
- Computer Science
- Analysis skills
- Bachelor's degree
Senior Gemini Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Management
- ERP systems
- SQL
Delivery Consultant - Amazon Connect, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- CRM software
- Computer Science
- Salesforce
20h
Google Cloud Solution Architect - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- PMP
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- Presentation skills
- Parental leave
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Senior Data Scientist
Easygo —Melbourne VIC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Work from home
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Sr. Amazon Quick Strategist, Amazon Quick Customer Success Team, AWS
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Business development
- AWS
- AI
Solution Engineer
Snowflake —Melbourne VIC
- Azure
- Computer Science
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Track Lead (Support & Operations)
HCLTech —Melbourne VIC
- Management
- SharePoint
- AI
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AI/ML Consultant, AWS Professional Services

Amazon Web Services Australia Pty Ltd -
Melbourne VIC

Apply Now

Job Details

Full-time
3 hours ago

Qualifications

Statistics
Computer Science
Engineering
AWS Certification
Git
Master's degree
AWS
Docker
Bachelor's degree
Machine learning
Security
AI

Full Job Description

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.

Are you passionate about developing machine learning (ML) and Generative AI (GenAI) solutions? Would you like to help major global companies develop new businesses using ML and GenAI? Amazon has been investing in research and application of ML for decades. We are looking for people who can leverage their machine learning and Generative AI expertise to solve various business problems for our customers.

AWS Professional Services helps AWS customers accelerate the use of ML and GenAI to solve business and operational challenges and drive innovation within their organisations. If you have experience building ML or GenAI solutions, we encourage you to join us. We are constantly innovating at AWS, and look forward to working with great teammates and helping our customers together.

AI/ML Consultants understand customer business issues, analyse them, and summarise solutions. They build these solutions, using ML, GenAI and related AWS ML services as core component to solve the customer issues. They also work with their teammates such as AI/ML Engineers and Application Developers to bring these solutions to a production ready level. They are passionate about setting innovative goals and providing technical solutions to achieve them.

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. 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

A day in the life
AWS Professional Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

BASIC QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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.

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
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.

Apply Now

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ai/ml architect jobs in melbourne, vic

AI/ML Consultant, AWS Professional Services

Senior Software Engineer

Solution Designer – Melbourne

Lakebase Specialist Sales

Senior AI Platform Engineer

Senior Solution Architect (Pre-Sales)

Project and implementation Engineer

Customer Solutions Manager, ANZ

Senior Architect - AWS

Solutions Architect Financial Services, AWS Global Sales, Financial Services

Senior AI Engineer, Data Science

Advisory Solutions Principal

Senior Gemini Platform Engineer

Delivery Consultant - Amazon Connect, AWS Professional Services

Google Cloud Solution Architect - GCP

Senior Data Scientist

Sr. Amazon Quick Strategist, Amazon Quick Customer Success Team, AWS

Solution Engineer

Track Lead (Support & Operations)

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