🛠 Tech Stack

💼 About This Role

You'll design and implement ML systems with LLMs for small business accounting solutions. Your work will directly shape AI-powered features like document understanding and financial forecasting. You'll operate in a zero-to-one environment with end-to-end ownership.

🎯 What You'll Do

• Build and optimise machine learning systems for accounting challenges
• Deploy scalable workflows on AWS SageMaker and Bedrock
• Lead end-to-end ML projects from ideation to production
• Collaborate with product managers and engineers on AI solutions

📋 Requirements

• Proficiency in ML frameworks like TensorFlow or PyTorch
• Experience with LLMs (e.g., GPT, Claude, Llama)
• AWS services expertise (SageMaker, Bedrock, S3)
• MLOps skills: CI/CD, model versioning, containerisation

✨ Nice to Have

• Bachelor's or Master's in CS, Data Science, or ML
• AWS Certified Machine Learning – Specialty certification

🎁 Benefits & Perks

• 🚀 Shape AI strategy from the ground up
• 💼 End-to-end ownership of impactful projects
• 🤝 Collaborative culture with cross-functional teams
• 🌏 Hybrid work in Sydney office