Research Engineer / Deep Learning Engineer (Computer Vision)
Tasks
- Apply models in document verification
- Collaborate with product and engineering teams
- Deploy deep learning models
- Design deep learning models
- Develop facial authentication pipelines
- Develop fraud detection models
- Develop liveness detection
- Evaluate models on large-scale datasets
- Implement computer vision architectures
- Mentor junior machine learning engineers
- Optimize deep learning models
- Present technical research
- Prototype end to end research
- Train deep learning models
Perks/Benefits
Skills/Tech-stack
CI/CD | CPU | Computer Vision | Cybersecurity | Data Augmentation | Deep learning | Digital Identity | Fraud Detection | GPU | KYC | Latency | MLOps | Model Deployment | Model Serving | Monitoring | Optimization | PyTorch | Python | Robustness | Self-Supervised Learning | Self-supervised | Statistics | Supervised Learning
Education
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