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This range is provided by Preacta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
A$180,000.00 / yr - A$200,000.00 / yr
Hyperparameter-Tuned AI / ML & Data Recruitment Expert
200k + Super + Bonus
About the Role
As a Senior AI / ML Engineer, you will own the end-to-end design, build, and deployment of AI systems from data pipelines and model development to production serving, monitoring, and continuous improvement.
You will bring a strong engineering mindset to architect scalable GenAI platforms, implement retrieval-augmented generation (RAG) systems, fine-tune LLMs, and build robust ML pipelines.
Your work will directly shape the company’s AI strategy, defining standards, leading experiments, and partnering with engineering, product, and risk teams to deploy models safely at scale.
Key Responsibilities
- Design clean, scalable AI / ML architectures using microservices and event-driven design
- Develop, fine-tune, and deploy LLMs using LoRA / QLoRA and advanced prompt engineering
- Build robust RAG pipelines, agentic workflows, and multimodal AI applications
- Productionise ML models with strong MLOps discipline across Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure)
- Implement LLM monitoring, evaluation, safety filters, and A / B testing frameworks
- Collaborate with teams to deliver measurable business impact
Must Have Skills
5+ years software engineering or ML experience with strong Python skillsHands-on experience building LLM-powered systems, including fine-tuning and RAGDeep understanding of ML algorithms, deep learning, and reinforcement learning for optimisationProficiency in containerisation (Docker, Kubernetes) and CI / CD for ML pipelinesProven ability to deliver scalable systems on AWS, GCP, or AzureStrong data engineering capability across SQL, vector databases, and streaming pipelinesSolid software design and architecture background with microservices experienceNice to Have
Experience in financial services including credit decisioning, fraud risk, or collectionsExposure to knowledge graphs and graph databases for retrieval and reasoningMultimodal AI experience for document processing or customer interactionGenAI use cases in contact centres, including voicebots, copilots, or sentiment analysisBackground integrating AI with enterprise toolsHybrid working arrangement in Sydney (3 days in office)
This is a chance to build out the standards in a well-known brand, please apply or send over your details to bendavies@preacta.com
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