Machine Learning Engineer
Tasks
- Apply XAI and confidence calibration
- Build and evaluate classifiers with offline and online methods
- Build and productionize machine learning models
- Define model success metrics and evaluation frameworks
- Design feature engineering pipelines for structured data
- Detect bias and run A B testing
- Implement real time inference and monitoring pipelines
- Own machine learning lifecycle
- Perform model evaluation including cross validation
- Run retraining pipelines and phased rollouts
- Use shadow mode comparison
Perks/Benefits
- Company holidays
- Dental insurance
- Flexible paid time off
- Home office support
- Learning and development budget
- Medical insurance
- Paid parental leave
- Remote work
- Vision insurance
- Wellness stipend
Skills/Tech-stack
A/B | A/B Testing | B testing | Bias detection | BigQuery | Classification | Confidence Calibration | Cross-validation | Data Quality | Feature Drift | Feature Engineering | Machine Learning | Model Monitoring | PostgreSQL | Python | Real Time | Real-time Inference | Retraining | SQL | Shadow mode | XAI
Education
N/A
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