Position Details
About this role
Senior data scientist specializing in computer vision to build and maintain document verification ML systems at scale, with customer-facing duties and cross-functional collaboration.
Key Responsibilities
- Design, develop, and own advanced deep learning models, including CNNs and transformer-based vision or multimodal architectures, for document verification use cases such as document classification, fraud detection, image quality assessment, field extraction, and authenticity checks
- Own ML solutions end to end, from data analysis and model training to deployment, monitoring, and production improvement
- Act as a technical point of contact for customers, leading technical deep dives and explaining model behavior
- Translate customer, regulatory, and business requirements into modeling objectives
- Partner with engineering and product teams to deliver scalable, reliable document verification systems
Technical Overview
Expertise in CNNs and Transformer-based vision architectures, multimodal systems, and production deployment. Strong Python experience with PyTorch/TensorFlow; familiarity with OCR and document verification use cases; capable of communicating technical concepts to non-technical stakeholders.
Ideal Candidate
The ideal candidate is a senior data scientist with deep expertise in computer vision and production ML systems, skilled in CNNs and transformer-based architectures, and comfortable with customer-facing technical work in a fintech setting.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 8 years of computer vision experience, No hands-on production ML experience, No experience with Python, PyTorch, or TensorFlow
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