Senior Machine Learning Engineer building and scaling machine learning systems for Viu’s OTT platform. Involves end - to - end ML workflows and collaboration with cross - functional teams.
About the role
- Machine Learning Engineer focused on developing AI solutions to empower small businesses. Join MYOB's Data & AI Team and shape the future of work through innovative technology.
Responsibilities
- 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
- Develop and optimise machine learning systems, focusing on innovative solutions for small business accounting challenges
- Create scalable workflows to train, deploy, and monitor machine learning models on AWS services like SageMaker and Bedrock
- Lead projects from ideation to production, implementing MLOps guidelines for robust and efficient solutions
- Work with product managers, engineers, and collaborators to align technical solutions with customer and business goals
Requirements
- Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with LLMs and foundation models (e.g., GPT, Claude, Llama)
- Solid understanding of AWS services (SageMaker, Bedrock, S3) and cloud-based architectures
- Expertise in CI/CD pipelines for ML, model versioning, monitoring, and containerisation (Docker, Kubernetes)
- Passion for solving real-world challenges for small businesses through innovative AI applications
- 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
Benefits
- Enjoy a flexible, hybrid workplace that brings balance to how you work, all of our centrally located offices come together for a number of in-person celebrations and social events
- Set up your home office with a little financial help from us, and take advantage of great corporate discounts and vouchers from top retailers
- Benefit from our partnership with Sonder, which supports the wellbeing of our team members
- Unlock your potential via in-house training and programs, LinkedIn Learning, conferences and study assistance
- Access to a variety of leave options available to support your wellbeing, including up to an additional four weeks of purchased leave, generous parental leave, domestic violence leave, transgender leave, community leave, study leave, and more
- Join our communities, built around ‘Wellness’, ‘Belonging’ and the ‘Planet’ where you can make a meaningful contribution
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