Senior Data Scientist - KYC
Summary
Build and deploy deep learning/computer vision models for KYC processes, processing images, videos, and sensor data to improve fraud detection and identity verification.
What will you do?
- Work with data like images, videos, speech and real-time sensor data, etc.
- Design, train, optimise, and deploy deep learning/computer vision models.
- Develop unit tests, documentation for features, and evaluate and benchmark model performance and quality.
- Communicate effectively between the business team and the engineering team to gather and implement project requirements.
- Own the end-to-end process, from defining the technical problem to deploying the solution in collaboration with engineers.
- Participate in internal and external conferences and workshops.
What you will need?
- 5+ years of experience in developing Deep Learning/Computer Vision and classic ML models for practical applications.
- Familiar with deep learning frameworks, such as PyTorch, Python, C++, NCNN, etc.
- Have practical knowledge of image/video processing techniques and deep learning in the computer vision domain.
- Proven track record in top-tier open data science/deep learning competitions and/or contributions to deep learning/data science frameworks.
- Familiarity with working knowledge in Android/iOS or GCP.
- Strong communication skills to understand business stakeholders' needs and to effectively convey the results of analytical solutions.
- Ability to write clear and concise technical documentation.