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Richmond
2 days ago
Senior Software Engineer - Machine Learning logo

Senior Software Engineer - Machine Learning

REA Group

Richmond
2 days ago
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Senior Software Engineer - Machine Learning

REA Group is seeking a Senior Software Engineer, Machine Learning to design and deliver AI/ML products that help millions of people experience property. The role involves building reliable, scalable AI/ML systems using Python, PyTorch, AWS, and cloud-native technologies, and working in a hybrid model based in Melbourne or Sydney.

Core AIHybridFull-timeSeniorMachine LearningML Engineering

Senior Software Engineer - Machine Learning

REA Group is seeking a Senior Software Engineer, Machine Learning to design and deliver AI/ML products that help millions of people experience property. The role involves building reliable, scalable AI/ML systems using Python, PyTorch, AWS, and cloud-native technologies, and working in a hybrid model based in Melbourne or Sydney.

Apply
Core AIHybridFull-timeSeniorMachine Learning

Salary

Not specified

Work Location

Richmond, Victoria, Australia, AU

Work Model

Hybrid

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
Machine LearningML EngineeringMLOpsSoftware EngineeringLLMsPythonSQLPyTorchAWSCI/CDDockerAirflowBigQueryKafkaTransformers
Soft Skills
CommunicationCollaborationLeadershipAdaptabilityLearning

Key Responsibilities

  • •Design, implement, test, evaluate, deploy and monitor AI/ML products, pipelines and services using Python, modern ML frameworks such as PyTorch, AWS and cloud-native technologies.
  • •Apply engineering best practices including test automation, CI/CD, refactoring, observability, Docker and infrastructure as code to build and operate reliable AI/ML products.
  • •Develop, test and maintain real-time and batch data engineering pipelines using technologies such as Airflow, SQL, BigQuery and Kafka.
  • •Establish automated evaluation and monitoring systems to track AI product and feature performance, detect drift and ensure quality at scale.
  • •Implement and optimise ML models for ranking, relevance and retrieval using embeddings, transformers and LLMs in production environments.
  • •Measure and optimise third-party models through appropriate evaluation and optimisation approaches.
  • •Own model lifecycle management, including versioning, deployment and CI/CD integration for reproducible experimentation and delivery.
  • •Contribute to discussions, design and delivery of ML platform capabilities that accelerate delivery across teams.
Senior Software EngineerMachine LearningAIPythonPyTorchAWSHybridFull-timeTechnologyProperty
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