Data Engineer (Teradyne, Costa Rica)
Tasks
- Apply machine learning for anomaly detection pattern recognition and predictive insights
- Build data schemas and data quality processes
- Build machine learning pipelines for training evaluation and deployment
- Collaborate with teams to deliver sustainable data solutions
- Create dashboards and self service analytics with SQL and BI
- Define evaluation metrics validate models and monitor performance
- Design and maintain scalable data pipelines
- Develop analytics ready datasets and reporting layers
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | C# | Data Modeling | Data Pipelines | Data Quality | Graph Modeling | Java | MLOps | Machine Learning | Microsoft Azure | Optimization | Pattern Recognition | Power BI | Predictive Analytics | Python | Reinforcement Learning | SQL | Scala | Snowflake | Testing | Version control
Education
Roles
AI | AI Engineer | Data Engineer | Engineer
Regions
Countries
States
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