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Bondi Junction
2 days ago
Senior Machine Learning Engineer logo

Senior Machine Learning Engineer

EatClub

Bondi Junction
2 days ago
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Senior Machine Learning Engineer

EatClub is seeking a Senior Machine Learning Engineer in Bondi Junction, Australia to own MLOps infrastructure including feature stores, model deployment pipelines, and serving APIs. The role requires strong Python, Databricks, AWS, and production software engineering skills, working closely with a Senior Data Scientist to productionise demand forecasting and experimentation systems.

Core AIHybridFull-timeSeniorPythonMLOps

Senior Machine Learning Engineer

EatClub is seeking a Senior Machine Learning Engineer in Bondi Junction, Australia to own MLOps infrastructure including feature stores, model deployment pipelines, and serving APIs. The role requires strong Python, Databricks, AWS, and production software engineering skills, working closely with a Senior Data Scientist to productionise demand forecasting and experimentation systems.

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Core AIHybridFull-timeSeniorPython

Salary

Not specified

Work Location

Bondi Junction, New South Wales, Australia, AU

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
PythonMLOpsDatabricksAWSFeature store designModel deployment pipelinesModel versioningWorkflow orchestrationExperiment trackingModel servingMonitoringDrift detectionAPI designCI/CDTime-series cross-validation
Soft Skills
CommunicationCollaborationBias to actionLow-egoCuriosityOwnershipAdaptability

Preferred Qualifications

Technical (Nice-to-have)
LLMRAGVector databasesFeature store from scratchDemand forecastingMarketplace domain experienceML platform setup

Key Responsibilities

  • •Stand up or harden a piece of the feature store
  • •Own the model deployment pipeline end to end: versioning, rollout, rollback, monitoring, drift detection
  • •Build and maintain the Databricks-based experimentation environment
  • •Design and operate the serving APIs that turn a forecast into something a restaurant operator sees in the product
  • •Productionise a new modelling approach (e.g. a TiDE-class neural forecaster)
  • •Build the infrastructure behind variance attribution and the LLM-and-vector-DB direction
  • •Push the team's AI-first workflow forward: agentic loops, async runs, humans on final review
  • •Work on hard systems problems and review your work with the Senior Data Scientist
Machine Learning EngineerMLOpsDatabricksAWSFeature StoreDemand ForecastingHospitality TechSeniorHybridPython
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