What Maintenance Training Manager Aviation Defense

Responsibilities
Production Solution Development: Build, optimize, and deploy modular AI applications, RAG pipelines, and microservices integrated directly into enterprise Finance tools and databases.
System Continuity & Keyperson Backup: Co-own codebases, repository standards, and infrastructure alongside the Senior Data Scientist to eliminate single-point-of-failure risks.
MLOps, CI/CD & Infrastructure: Maintain Dockerized deployments, automated CI/CD pipelines, API gateways, and vector store instances using clean code architecture and automated testing.
Production Support & Observability: Implement real-time monitoring, error logging, rate-limiting, and cost tracking (token usage, latency optimization), while managing routine incident triage and operational support.
Data Integration:



Engineer robust ETL/ELT pipelines using SQL, dbt, and Python to ingest structured ERP/ledger data as well as unstructured documents into AI contexts.

What you will bring
Typically 3+ years of hands-on experience in AI Engineering, Software Engineering, or Data Engineering building production-ready data or AI applications.
Core Technical Stack: Python, SQL; experience with RAG frameworks, vector databases, Docker, CI/CD, API integrations, and cloud platforms.
Robust communication and collaboration skills with the ability to work with both technical and non-technical stakeholders.
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📌 Maintenance & Training Manager Aviation/defense Sydney
🏢 Cae
📍 Sydney