AI/Machine Learning Engineers required in capital cities throughout Australia. You will be responsible for designing, developing, deploying, and maintaining high-performance machine learning models and AI-driven solutions that directly impact business strategy. These roles are critical components in the digital transformation, focusing on production-ready systems that utilise modern cloud data architecture.

MUST HOLD VALID AUSTRALIAN WORK RIGHTS AND CURRENTLY RESIDE IN AUSTRALIA

Key Responsibilities

• Model Development: Design, build, train, and test robust Machine Learning (ML) models (e.g., predictive models, classification, forecasting) using Python and standard ML frameworks.
• Production Deployment: Implement models into production using best practices for MLOps, ensuring scalability and reliability on AWS or Azure cloud platforms.
• Data Engineering: Work closely with data engineers to access, transform, and manage large-scale datasets stored in Snowflake for model training and inference.
• Code Quality: Write clean, well-documented, and efficient Python code, utilising libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch.
• Infrastructure: Manage cloud resources for ML workloads, including setting up compute environments, data pipelines, and security protocols on AWS (e.g., SageMaker) or Azure (e.g., Azure ML).
• Collaboration: Partner with business stakeholders and product owners to translate complex business problems into viable AI solutions.