This is a remote position.
Role Highlights
- Fun working environment and culture
- Work From Home
- Fixed Day Shift schedule
- 5-day work week - Weekends Off
- HMO package with dependent/s
- Full-time, regular employment
About eSkilled
eSkilled is a leading Australian SaaS provider delivering next-generation Student Management Systems (SMS) and Learning Management Systems (LMS) purpose-built for the VET sector, CRICOS/ELICOS providers, and enterprise learning environments. We are an AI-first company, pioneering intelligent automation, secure data workflows, and adaptive learning at scale. Our clients include hundreds of RTOs and colleges across Australia and internationally.
We are expanding our AI team and seeking an experienced, highly capable AI/ML Engineer & Architect to lead mission-critical AI initiatives across our platform ecosystem.
Role Overview
The AI/ML Engineer & Architect will be responsible for architecting, developing, and deploying secure, high-performance AI systems across eSkilled's SMS and LMS. This includes building AI-over-data layers, document-aware AI pipelines, AI grading engines, and self-hosted model infrastructure.
Key Responsibilities
- Build secure multi-tenant AI-over-data systems allowing clients to query their own SMS/LMS data via natural language.
- Architect and implement document-aware AI (RAG) systems for client-uploaded documents.
- Develop AI grading engines for quizzes, essays, practical assessments, and projects.
- Deploy and fine-tune self-hosted LLMs (Llama, Mistral, Qwen, etc.).
- Create model reasoning, explainability, and assessor-review workflows.
- Develop datasets, run fine-tuning pipelines, calibrate models, and establish evaluation frameworks.
- Collaborate with engineering, product, and compliance teams for successful delivery of AI features.
Requirements
Required Experience
- 37 years in AI/ML engineering or ML architecture.
- Experience with self-hosted LLMs and fine-tuning (LoRA, QLoRA, full finetuning).
- Strong Python skills and hands-on experience with LangChain or LlamaIndex.
- Experience building RAG systems and vector search (Elastic, FAISS, Pinecone, Qdrant).
- Understanding of multi-tenant SaaS data isolation and secure AI architecture.
- Experience with Docker/Kubernetes and cloud GPU environments.
- Bonus: familiarity with EdTech, VET/CRICOS/ELICOS, OCR pipelines, SQL & NoSQL.
Benefits
What's in it for you
- Work with one of Australia's fastest-growing EdTech SaaS companies.
- Lead groundbreaking AI projects used by hundreds of training providers.
- Competitive salary + bonuses + optional stock.
- Flexible hybrid or remote work.
- Opportunity to shape the future of AI-powered learning and compliance systems.
- Annual Pay Reviews
- PHP 100,000 medical coverage for 2 dependents
- Dental and optical benefits
- Company-provided equipment
- Virtual games, events, and lunch outs
