ARIA - Literature Review AI Automation (IT-PW-WDA-2026-165-GRAP)
Hybrid
Core
Design and deploy NeutrinoReview, an AI-powered tool for automating systematic literature reviews to inform public health policy and guidance.
Role type
Senior IC Machine Learning Engineer (NLP)
Builds
NeutrinoReview (production-ready, general-purpose tool for public health, IT, and physics)
Domain
Public health / Physics / AI & NLP
Deliverable
production ML models
Required skills
Python, JavaScript, React, Kubernetes/OpenShift, CI/CD, Systematic literature review methodologies, AI/NLP pipeline design
Preferred skills
Full-stack development, DevOps practices, UI/UX design
Technologies
Python, JavaScript, React, Kubernetes, OpenShift
Responsibilities
Design architecture for production version of NeutrinoReview, Establish development roadmap with milestones, Develop guidelines for safe AI integration, Release tool for broader domains