Engineering Manager - Machine Learning (City of Sydney)

About the Team Our Tech team are true heroes. They’ve taken our legacy success and transformed it into an extraordinary SaaS platform to support SME and Enterprise businesses in ways they never knew they needed. By joining the Tech team, you’ll be an integral part of building our all-in-one business management platform. Be at the Forefront of AI Innovation at MYOB At MYOB, we empower small businesses with transformative technology. We’re looking for a Machine Learning Engineer to design, build, and scale AI-driven applications for our SaaS business management platform. The Role As a foundational member of the AI team, you’ll shape the technical vision, lead a small team of engineers, and together build systems that directly impact our customers' success.
- 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.
- Work in a dynamic environment, bringing ideas from concept to production. What You’ll Do
- Build from scratch 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.
- Take end-to-end ownership – lead projects from ideation to production, implementing MLOps best practices for robust and efficient solutions.
- Collaborate and innovate – partner with product managers, engineers, and stakeholders to align technical solutions with customer and business goals. What You’ll Bring
- Technical expertise – proficiency in machine learning frameworks (TensorFlow, PyTorch) and experience with LLMs and foundation models (GPT, Claude, Llama).
- Thought leadership – experience mentoring, coaching, or leading others.
- Cloud-native experience – solid knowledge 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 – thrives in ambiguous environments, bringing creativity and resilience to build impactful systems from the ground up.
- 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. Ready to Build the Future? We’d love to hear from you if you’re passionate about AI and want to be part of a team that’s shaping the future of business technology. We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr Apply on Kit Job: kitjobau.com/job/3rmqwa