🛠 Tech Stack

💼 About This Role

You'll design and implement machine learning systems using LLMs and foundation models for a leading business management solution. You'll build AI-powered features for document understanding, forecasting, and conversational interfaces. This role offers end-to-end ownership in a zero-to-one environment.

🎯 What You'll Do

• Develop and optimize machine learning systems for accounting challenges
• Deploy scalable training and monitoring pipelines on AWS SageMaker and Bedrock
• Lead ML projects from ideation to production with MLOps
• Collaborate with product managers and engineers on AI solutions

📋 Requirements

• Proficiency in TensorFlow or PyTorch
• Experience with LLMs and foundation models (GPT, Claude, Llama)
• Solid understanding of AWS services (SageMaker, Bedrock, S3)
• Expertise in CI/CD pipelines for ML, containerization (Docker, Kubernetes)

✨ Nice to Have

• Bachelor's or Master's in Computer Science, Data Science, or related field
• AWS Certified Machine Learning – Specialty certification

🎁 Benefits & Perks

• 🏖️ Flexible hybrid work in Melbourne
• 💰 Competitive compensation
• 📈 Professional development opportunities
• 🏥 Health and wellness programs
• 🤝 Collaborative team environment