Data Engineer
Tasks
- Apply machine learning for anomaly detection and predictive insights
- Build and maintain dashboards using SQL and BI platforms
- Build pipelines for training and deploying machine learning models
- Collaborate with operations and engineering to deliver data solutions
- Define evaluation metrics and validation approaches
- Design and build scalable data pipelines
- Develop analytics ready datasets and reporting layers
- Maintain data schemas and data quality processes
- Monitor and maintain machine learning solutions
- Support data logging and monitoring
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Azure | C# | Dashboards | Data Pipelines | Data Quality | Data schemas | Java | Logging | MLOps | Machine Learning | Model Deployment | Model Monitoring | Pattern Recognition | Power BI | Predictive Analytics | Python | SQL | Scala | Snowflake | Testing | Version control
Education
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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