Data Engineer – AI/ML | Google Cloud
Sydney Olympic Park, New South Wales 2127, Australia
AUD 110K-140K (estimate) Mid-level Full Time
Tasks
- Build scalable data pipelines
- Build train and tune machine learning models
- Create ML ready datasets
- Deploy models to production
- Detect data drift and model drift
- Develop feature engineering pipelines
- Implement automated testing and data quality controls
- Integrate business systems and data sources
- Monitor forecast accuracy and model performance
- Validate models backtest and cross validate
Perks/Benefits
Skills/Tech-stack
API Integration | Backtesting | BigQuery | Cloud Functions | Cloud Monitoring | Cloud Run | Cloud Storage | Cloud logging | Cross-validation | Data Quality | Dataflow | Demand forecasting | Feature Engineering | Generative AI | IAM | LLM | MLOps | Machine Learning | Model Drift | Model Monitoring | Predictive Analytics | Pub/Sub | Python | SQL | Secret Manager | Series forecasting | Time Series | Time Series Forecasting | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
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