My client are looking for a data scientist who has moved into AI Engineering, who has actually shipped models that move numbers.
Not dashboards.
Not proofs of concept.
You'll build churn, recommendation and next best action models that shape how millions of people engage and subscribe, then bring LLM and agentic approaches into that work.
The role
Design, build and deploy production AI apps, RAG pipelines, API services and LLM integrations
Deliver churn, recommendation backed by solid quantitative and statistical analysis
Keep production healthy with solid CI/CD and no single points of failure
You'll bring
Around 8 years in data science and AI, with production models and applications shipped
Hands-on churn, recommendation and next best action experience
LLM and agentic experience, including production RAG architecture
Advanced Python (FastAPI, LangChain/LlamaIndex) and SQL
GCP, AWS or Azure, plus Docker, Git, CI/CD and automated testing
This is contract based role for Sydney based candidates that hold full working rights.
#J-*****-Ljbffr

📌 Ai Engineer With Data Science Background (Sydney)
🏢 Nuage
📍 Sydney