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Unlocking ai potential: machine learning engineer wanted

Perth
beBeeMachineLearning
Posted: 18 December
Offer description

Machine Learning Engineer Role

We are seeking a skilled Machine Learning Engineer to join our Data & AI Platform team. This role is ideal for someone with experience in designing, developing and delivering AI/ML systems, including cloud-native solutions.


About the Role

The Data & AI Platform team builds foundational capabilities that enable scalable, secure, and high-impact AI solutions. We design and operate the platforms, components, and workflows that support machine learning, GenAI, data-driven optimisation, and enterprise automation.

As a Machine Learning Engineer, you will help build and operate our AI platform supporting traditional ML, LLM-based applications, orchestration frameworks, and end-to-end MLOps/LLM Ops processes. You'll work with data scientists, architects, and product teams to deliver reliable, integrated, and value-focused AI solutions across the business.


Key Responsibilities

* Develop and maintain reusable AI components, APIs, microservices, and orchestration frameworks.
* Support the implementation of ML and GenAI architectures, including retrieval pipelines and agentic workflows.
* Build platform capabilities for model deployment, automation, monitoring, evaluation, and lifecycle management (MLOps & LLM Ops).
* Integrate AI services into business workflows, ensuring alignment with enterprise architecture, security, and data governance.
* Collaborate with cross-functional teams to deliver scalable and production-ready AI solutions.


Requirements

* Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or related field.
* Minimum 2+ years of experience in designing, developing and delivering AI/ML systems, including cloud-native solutions.
* Software Engineering/Programming: Proficient in Python (essential).
* Familiarity with TypeScript/JavaScript, C#, or Go beneficial.


Benefits

We offer a range of benefits, including:

* A competitive salary and bonus package.
* Ongoing training and development opportunities.
* A dynamic and supportive work environment.


How to Apply

If you meet the above requirements and would like to be considered for this role, please submit your interest using the 'Apply' button. Have the following documents ready: Resume, Cover Letter (optional).

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