AI Engineer with Data Science Background
Summary
Contract role for a data scientist turned AI engineer to design, build and deploy production AI apps — churn, recommendation and next-best-action models, RAG pipelines, APIs and LLM integrations — using Python, FastAPI, LangChain/LlamaIndex, SQL, cloud (GCP/AWS/Azure), Docker and CI/CD. Must be Sydney-based with full working rights.
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 strong 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.