Forward-Deployed AI Engineer, Justice and Community Safety
Core
Forward-deployed AI engineer embedding with Justice and Community Safety (JACS) customers to design, adapt, and deploy the Matilda AI stack for mission outcomes in secure environments.
Role type
Senior IC machine-learning engineer (government security)
Builds
Production ML systems (fine-tuned models, RAG pipelines) on the Matilda stack for classified/on-prem environments
Domain
Australian government defense/intelligence + AI/ML
Deliverable
production ML models
Required skills
Python, PyTorch, JAX, Hugging Face, MLOps, data pipeline engineering, secure system deployment, architecture design, technical writing
Preferred skills
Large language model fine-tuning and evaluation, retrieval-augmented generation, entity resolution, geospatial analysis, OSINT, graph analytics, solutions architecture
Technologies
Matilda stack, PyTorch, JAX, Hugging Face
Responsibilities
Embed with Victorian J&ES customers to define technical plans; Design, fine-tune, evaluate, and deploy systems in on-prem/air-gapped environments; Own end-to-end delivery including MLOps and security hardening; Brief stakeholders and write architecture papers; Feed customer learnings back to model training teams
Seniority
Senior, hands-on IC