11 months ago
Melbourne, AustraliaSenior
Responsibilities
- Design and implement machine learning systems centered on large language models and foundation models.
- Develop and deploy AI-powered features for automated document understanding, financial forecasting, and conversational interfaces.
- Create scalable workflows to train, deploy, and monitor machine learning models using AWS services including SageMaker and Bedrock.
- Optimize AI systems for scalability, safety, and reliability on AWS infrastructure.
- Lead projects from ideation through production and implement MLOps practices for robust and efficient solutions.
- Collaborate with product managers, engineers, and other contributors to align technical solutions with customer and business goals.
Requirements
- Proficiency with machine learning frameworks such as TensorFlow and PyTorch.
- Experience with LLMs and foundation models such as GPT, Claude, and Llama.
- Solid understanding of AWS services including SageMaker, Bedrock, and S3, as well as cloud-based architectures.
- Expertise in machine learning CI/CD pipelines, model versioning, monitoring, and containerization with Docker and Kubernetes.
- Ability to solve real-world challenges for small businesses and work effectively in uncertain, innovative, zero-to-one environments.
- Bachelor’s or master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- AWS Certified Machine Learning – Specialty or similar relevant certifications are highly desirable.
Benefits
- Flexible hybrid workplace with centrally located offices and in-person celebrations and social events.
- Financial support for setting up a home office, plus corporate discounts and retail vouchers.
- Wellbeing support through MYOB’s partnership with Sonder.
- In-house training, LinkedIn Learning, conferences, and study assistance.
- Multiple leave options, including purchased leave, parental leave, domestic violence leave, transgender leave, community leave, and study leave.
- Employee communities focused on Wellness, Belonging, and the Planet.
Tech Stack
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