Data Engineer
Shanghai Offices, China
CNY 160K-240K (estimate) Senior-level Full Time
Tasks
- Build machine learning models for predictive maintenance
- Communicate model insights to stakeholders
- Create feature engineering and model validation workflows
- Define data and model standards governance and protocols
- Define required signals and data model requirements
- Deploy and retrain models in production
- Design end to end model lifecycle and monitoring
- Design scalable cloud-native data pipelines
- Develop deep learning models for fault detection and classification
- Document solutions and provide knowledge sharing
- Ensure data quality, traceability, and reproducibility
- Ensure security compliance manageability and scalability
- Identify root cause with data and analytics
- Implement data access with Azure Databricks Spark and Kusto
- Improve observability with machine data signals
- Ingest transform and provision machine data
- Translate diagnostic needs into data and model specifications
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure | Bash | Cause analysis | Data Pipelines | Data Quality | Databricks | Deep learning | ETL | FDC | Fault detection | Feature Engineering | Kusto | Machine Learning | Model Monitoring | Observability | Perl | Powershell | Predictive Maintenance | Python | Root Cause Analysis | Root cause | SPC | SQL | Statistics
Education
Roles
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