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Role- ML Engineer
Type- Permanent
Location- Sydney
JD
- Expert in SQL and data modelling (dimensional, normalized, denormalized models)
- Proficiency in Python, or Java for data pipeline development
- Hands-on experience with modern cloud data platforms (e.g. AWS Redshift Databricks)
- Skilled in orchestration tools (e.g. dbt) and CI/CD practices
- Familiar with streaming frameworks (e.g., Kafka, Spark Streaming)
- Deep understanding of data governance, lineage, security, and compliance
- Ability to translate complex analytical concepts into actionable insights
- Design, build, and deploy machine learning models and pipelines to solve business problems and drive data-driven decision making. Collaborate with data scientists, engineers, and product teams to scale models into production with reliability and performance
Interested people can share their resume at [email protected]
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