~1h ago

Senior AI Engineer / Senior Cloud AI Engineer

Australia·Melbournesenior

Machine Learning EngineerData

2 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Depending on the candidate's technical specialisation, responsibilities may include: Design, develop, implement and optimise enterprise AI, ML and Generative AI platforms,

Technical Tools

Machine Learning EngineerData

Responsibilities

~1 min read

→Experience delivering AI/ML, Generative AI or cloud-native infrastructure solutions within Australian Government environments.
→Experience with both AI software engineering and cloud/platform infrastructure engineering.
→Experience with emerging AI technologies, model serving, GPU infrastructure and enterprise AI platform operations.
→Experience leading technical teams, developing engineering standards and providing mentoring or knowledge transfer.
→Experience working within Agile, DevOps, ITIL or other structured technology delivery frameworks.

Please provide an updated CV (preferably 3–5 pages) demonstrating your suitability for the role based on your technical experience and specialisation.

Applicants should clearly outline their experience in AI software engineering, cloud infrastructure/platform engineering, or both, including examples of relevant projects, technical responsibilities and leadership experience.

Shortlisted candidates will be required to provide a one-page pitch of no more than 5,000 characters addressing the selection criteria relevant to the specific opportunity.

Applications will be assessed based on demonstrated technical capabilities, relevant experience, leadership skills and suitability for the available positions.