Senior AI Engineer

Be at the Forefront of AI Innovation at MYOB

Are you a forward-thinking Machine Learning Engineer prepared to develop powerful AI solutions that redefine how businesses operate? At MYOB, we empower small businesses with transformative technology.

Be part of our Data & AI Team to develop and broaden applications with MYOB’s product ecosystem and data to compose AI-powered experiences for SMEs and Enterprises, enhancing efficiency and confidence.

The Role

As a foundational member of the AI team, you’ll shape the technical vision and build systems that directly impact our customers' success. This is a unique opportunity to:

- Design and implement machine learning systems from the ground up, with a focus on large language models (LLMs) and foundation models tailored to small business needs.

- Develop and deploy AI-powered features for automated document understanding, financial forecasting, and conversational interfaces.

- Optimise AI systems for scalability, safety, and reliability on AWS infrastructure.

- Work in a dynamic, zero-to-one environment, bringing ideas from concept to production.

What You’ll Do

- Build from Scratch: Develop and optimise machine learning systems, focusing on innovative solutions for small business accounting challenges.

- Deploy at Scale: Create scalable workflows to train, deploy, and monitor machine learning models on AWS services like SageMaker and Bedrock.

- End-to-End Ownership: Lead projects from ideation to production, implementing MLOps guidelines for robust and efficient solutions.

- Collaborate and Innovate: Work with product managers, engineers, and collaborators to align technical solutions with customer and business goals.

What You’ll Bring

- Technical Expertise: Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with LLMs and foundation models (e.g., GPT, Claude, Llama).

- Cloud-Native Experience: Solid understanding of AWS services (SageMaker, Bedrock, S3) and cloud-based architectures.

- MLOps Skills: Expertise in CI/CD pipelines for ML, model versioning, monitoring, and containerisation (Docker, Kubernetes).

- Customer Focus: Passion for solving real-world challenges for small businesses through innovative AI applications.

- Innovation: Excels in uncertain settings, showcasing ingenuity and perseverance to construct influential systems from scratch.

- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

- Relevant certifications (e.g., AWS Certified Machine Learning - Specialty) are highly desirable.