Machine Learning Engineer

• Build and maintain the feature store, model deployment pipelines, Databricks experimentation environment, and model serving layer
• Translate modelling requirements into production systems with the Senior Data Scientist
• Define contracts between feature engineering and feature serving, and between model training and model deployment
• Own POS data pipelines and downstream serving APIs with backend engineers
• Collaborate with the Product Manager on platform reliability, priorities, and future flexibility
• Engage with restaurant operators to understand the impact of latency, stale data, and broken pipelines
• Own model deployment end to end, including versioning, rollout, rollback, monitoring, and drift detection
• Design and operate serving APIs that expose forecasts in the product
• Productionise modelling approaches and benchmark compute footprint, latency, and cost
• Build infrastructure for variance attribution and LLM/vector-DB-based forecast explainability
• Advance the team’s AI-first workflow with agentic loops, asynchronous runs, and human final review
• Support demand forecasting, affinity modelling, restaurant grouping, per-venue model selection, intraday demand serving, Actions Feed recommendations, and forecast confidence infrastructure

Machine Learning Engineer jobs in Australia

Senior Machine Learning Engineer