Machine Learning Engineer I
Tasks
- Analyze production data for drift and performance issues
- Build end-to-end machine learning solutions
- Conduct error analysis and prevent regressions
- Deploy models and set up monitoring
- Investigate false positives and false negatives
- Perform data wrangling and feature engineering
- Resolve detection efficacy alerts
- Run offline metrics and online A B testing
- Set thresholds and implement rollback strategies
- Train and evaluate machine learning models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Data Wrangling | Databricks | Deployment | Drift monitoring | Error Analysis | Experimentation | Feature Engineering | Go | Machine Learning | Model Evaluation | Model Training | Numerical computing | Offline metrics | Production Monitoring | Python | Spark | Structured data | Text processing | Thresholding
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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