Machine Learning Engineer, Integrity
Hybrid in Bangalore, India
R
INR 2500K-2800K (estimate) Mid-level Full Time
Tasks
- Benchmark integrity signals
- Build evaluation infrastructure
- Create training data from failures
- Define ML strategy for new signals
- Define strategy for new signals
- Detect signal drift
- Evaluate and iterate on emerging models
- Improve model performance per signal
- Monitor assessment fraud tooling
- Standardize model quality measurement
- Surface edge cases
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Machine Learning | Anomaly Detection | Benchmarking | Data Pipelines | Drift Detection | Fraud Detection | Golden datasets | Machine Learning | Model Drift | Model Drift Detection | Model Evaluation | Multimodal Learning | Multimodal fusion | Uncertainty Estimation
Education
N/A
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