Senior Data Scientist
Tasks
- Build benchmarks and red team suites and report FAR FRR ROC PR and calibration
- Conduct bias and fairness audits and align with ISO IEC 30107 best practices
- Design train and deploy computer vision and deep learning models for presentation attack detection and deepfake detection
- Own datasets end to end including collection labeling quality gates and hard negative mining
- Run ablations and adversarial stress tests
- Ship models with latency and SLA targets and collaborate on scalable inference APIs and monitoring
- Track state of the art methods and adopt techniques to improve security latency or cost
- Translate fraud patterns into model features and detection rules
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Testing | Bias/fairness | CI/CD | CUDA | Calibration | Computer Vision | Contrastive Learning | Data labeling | Deep learning | Experiment tracking | FFmpeg | Hard Negative Mining | Inference Optimization | Latency optimization | Metric Learning | Model Monitoring | Negative mining | ONNX Runtime | OpenCV | PyTorch | Python | ROC analysis | Temporal models | TensorRT | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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