Senior Machine Learning Engineer
Tasks
- Assess clinical sensitivity specificity lead time and alert burden
- Build adjudication workflows
- Build evaluation harnesses backtesting and regression suites
- Build feature engineering for physiological time series and structured EHR context
- Define prediction targets and labels with clinical teams
- Design train and evaluate clinical prediction models
- Measure robustness across facilities settings and demographics
- Present model behavior and limitations to stakeholders
- Select thresholds using calibration and clinical requirements
- Ship and monitor models with ML Ops
- Validate models and support regulatory submissions
Perks/Benefits
- N/A
Skills/Tech-stack
Backtesting | Calibration | Class imbalance | Data Validation | Deep learning | Feature Engineering | ML Ops | Machine Learning | Model Evaluation | Model Monitoring | Python | Regression testing | SQL | Temporal Leakage | Time Series
Education
N/A
Regions
Countries
States
Cities
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