In-Demand Machine learning engineer Jobs in Docklands, Vic

Forward Deployed Engineering Manager, Gen AI
Google —Melbourne VIC
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Controls Engineer, APAC Controls Deployment & Service
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- Microsoft Word
- Microsoft Excel
- AWS
Senior Software Engineer/Architect - C++ (Must Have Aus Citizenship)
The Argyle Network —Melbourne VIC
- $150,000 a year
- Full-time
- Hybrid work
- Communication skills
Principal AI Engineer
MYOB —Melbourne VIC
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Parental leave
Senior Software Engineer (Python/Django)
Kraken —Melbourne VIC
- Full-time
- Hybrid work
- AWS
- APIs
- AI
Quick Apply
Senior Software Engineer - Australia
Neara —Melbourne VIC
- Full-time
- CAD
Data Scientist / Senior Data Scientist (Grid Insights)
Gridsight —Collingwood VIC
- Full-time
- Doctoral degree
Quick Apply
Platform Manager (ML)
Coles Group —Hawthorn East VIC
- Full-time
- Azure
- Computer Science
- Engineering
- Free parking
- Employee stock purchase plan
Commercial Lead
Ornata —Richmond VIC
- Full-time
- Sales
Quick Apply
Senior AI Engineer
MYOB —Melbourne VIC
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Parental leave
Enterprise Account Executive
Pluralsight —Melbourne VIC
- Full-time
- Sales
- Annual leave
- Professional development assistance
Talent with technology enriches humanity
Fabric Group Holdings —Melbourne VIC
- AI
Systems Development Engineer, Region Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Administrative experience
- AWS
- AI
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Systems Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Scripting
- AI
Principal Technology Product Owner- Gen AI, Responsible AI
Commonwealth Bank —Melbourne VIC
- Full-time
- Azure
- SQL
- AWS
Senior Business Analyst - SuccessFactors (12 month FTC)
Kmart —Chadstone VIC
- Contract
- Employee stock purchase plan
3d
Energy-Efficient Decentralised Training Frameworks for Large-Scale AI Models on Geo-Distributed Infrastructure
Monash University —Clayton VIC
- Full-time
- Doctoral degree
- Research
- Master's degree
5h
Manager, AI Governance
Australian Financial Complaints Authority —Melbourne VIC
- Full-time
- Hybrid work
- AI
- Communication skills
6h
Manager, AI Governance
AFCA —Melbourne VIC
- Full-time
- Hybrid work
- AI
- Communication skills
Quick Apply
7h

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Forward Deployed Engineering Manager, Gen AI

Google -
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

Doctoral degree
Computer Science
MCP
Engineering
Master's degree
Bachelor's degree
Machine learning
Systems engineering
Cloud computing
AI

Full Job Description

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Melbourne VIC, Australia.

Minimum qualifications:

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
8 years of experience in cloud computing or a technical customer-facing role.
2 years of experience managing a software engineering, forward deployed engineering, or a similar technical customer-facing team in a cloud computing environment.
Experience in machine learning and in developing AI/Generative AI solutions utilizing AI tools and designing multi-agent workflows and retrieval-augmented generation (RAG) systems.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Background in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
Expertise in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.
Ability to perform deep ‘discovery’ interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep-technical teams.

About the job

As a Manager of a GenAI Forward Deployed Engineering (FDE) team, you will lead a squad of AI/ML engineers who bridge the gap between frontier AI products and production-grade reality within customers. You are responsible for a team that doesn't just consult, but codes, debugs and jointly deploys bespoke agentic solutions directly within customer environments. In this role, you will provide deep-dive technical mentorship to your team while balancing high-level strategic alignment with Product, Engineering, and Google Cloud Regional Sales leadership. Your mission is to empower and unblock your team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management challenges that hinder AI from achieving enterprise-grade maturity.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Serve as the ultimate technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
Partner with sales and tech leadership to define requirements for high-value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts.
Lead technical hiring for forward deployed engineering, evaluating Artificial Intelligence/Machine Learning (AI/ML) expertise, systems engineering, and coding skills to build an engineering squad.
Identify skill gaps in emerging tech (model context protocol (MCP), tool-calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.
Collaborate with product and engineering to resolve blockers and translate field insights into roadmaps, building internal tools to drive organizational efficiency.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

Refine Your Search

machine learning engineer jobs in docklands, vic

Forward Deployed Engineering Manager, Gen AI

Controls Engineer, APAC Controls Deployment & Service

Senior Software Engineer/Architect - C++ (Must Have Aus Citizenship)

Principal AI Engineer

Senior Software Engineer (Python/Django)

Senior Software Engineer - Australia

Data Scientist / Senior Data Scientist (Grid Insights)

Platform Manager (ML)

Commercial Lead

Senior AI Engineer

Enterprise Account Executive

Talent with technology enriches humanity

Systems Development Engineer, Region Services

Senior AI Engineer, Data Science

Systems Engineer, Region Services

Principal Technology Product Owner- Gen AI, Responsible AI

Senior Business Analyst - SuccessFactors (12 month FTC)

Energy-Efficient Decentralised Training Frameworks for Large-Scale AI Models on Geo-Distributed Infrastructure

Manager, AI Governance

Manager, AI Governance

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