Machine Learning/AI Engineer

• One of Australia’s leading research & teaching universities
• Vibrant campus life with a strong sense of community & inclusion
• Enjoy a career that makes a difference by collaborating & learning from the best

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

Ranked among the top 50 universities globally, we attract the highest potential students from Australia and around the world. Our researchers tackle the biggest economic, business, and social challenges with partners around the world.

Position Summary:

The Machine Learning/AI Engineer (Level 6) will be responsible for implementing Retrieval Augmented Generation systems in university courses within the Engineering division to provide context-aware feedback to students.

Accountabilities:

Specific accountabilities:

• Apply advanced machine learning and AI concepts to develop systems.
• Suggest improvements to machine learning processes and technologies.
• Test new AI models and systems for proper performance.
• Liaise with other engineers and stakeholders to finalize AI models and systems.
• Document AI model development processes and protocols.

Skills & Experience:

It is highly likely that you will have:

• A degree in a relevant field (e.g., computer science, machine learning, or artificial intelligence) or equivalent knowledge.
• Ability to work collaboratively in a team environment and communicate effectively.
• Ability to work effectively with minimal supervision, including monitoring workflow and priorities.
• Advanced computer literacy and programming ability, with experience in machine learning frameworks and tools.
• Proven ability to work effectively with minimal supervision, including monitoring own workflow and priorities.

Please note that you must have working rights in Australia and have an Australian bank account. Overseas applications cannot be considered.

To Apply: To be considered for the above positions please upload your CV and respond to the questions in the application form before clicking submit. You must submit your application online, we cannot accept emailed applications.

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