[Hiring] Data Scientist (Computer Vision) @Daon Inc

Role Description

Apply machine learning, deep learning, and computer vision techniques to identity document analysis, authentication, and fraud detection:

• Design & implement document-based algorithms for use in digital onboarding & identity authentication solutions
• Create solutions to perform identity document authentication, detect tampered documents, & prevent document fraud
• Develop identity document processing algorithms using foundation models or traditional machine learning, image processing & computer vision depending on deployment constraints
• Prototype proof-of-concepts, then develop them into full production-ready solutions
• Collaborate with engineering, product, and support teams to deploy algorithms into production and manage long-term improvements
• Develop algorithm components for cloud, server, and mobile deployment environments
• Test, evaluate, and configure identity document processing and analysis solutions
• Apply your knowledge in document validation, document capture, computer vision, & image processing

Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, a mathematics-related field, or equivalent
• Strong analytical and problem-solving skills
• Ability to work independently and as a member of a team
• Excellent attention to detail
• Excellent written and spoken English

Requirements

• Passionate about applying machine learning and computer vision to real-world document and identity problems
• Experience developing and evaluating advanced machine learning and computer vision algorithms
• Strong traditional machine learning and computer vision background (experience applying these techniques to document processing is a bonus)
• Strong proficiency with modern deep learning frameworks and foundation models
• Experience in low-resourced domains, transfer learning or using unsupervised/lightly supervised learning techniques
• Strong Python skills for research and application development; C++ experience is a plus
• Working knowledge of image processing libraries & toolkits
• Competency in using AI-driven development tools to accelerate the computer vision R&D lifecycle
• Commercial experience with document capture & validation is a plus
• Experience in data curation, annotation, and synthetic training data generation
• A quick learner with strong mathematical aptitude
• Strong collaboration skills and the ability to work effectively within an existing international team are essential

Benefits

• An opportunity to work on advanced biometric identity, document analysis, and fraud detection technologies
• Competitive compensation & benefits
• Flexible working environment that supports a healthy work-life balance