Computer Vision Scientist – Identity & Fraud AI (Hybrid, Ireland)

Daon, Inc.; Dublin; Hybrid; EUR 120,000 - 170,000; Full time

Benefits offered by this job

Competitive compensation

Flexible working environment

Job summary

Daon, Inc. in Dublin, Ireland, offers a hybrid role with three days in the office and two days remote for a Principal Research Scientist.

You will design and implement document-based algorithms for digital onboarding and identity authentication, addressing fraud prevention at scale. You will develop identity document processing using foundation models or traditional ML, collaborating with global teams to deploy production-ready solutions across cloud, server, and mobile platforms.

Qualifications

• Experience designing and implementing document-based algorithms for onboarding and identity verification.
• Knowledge of computer vision, image processing, and ML for document fraud detection.
• Proficiency in Python; C++ is a plus.

Responsibilities

• Design and implement document-based algorithms for onboarding and identity authentication solutions.
• Develop algorithms for document validation, tamper detection, and fraud prevention.
• Prototype concepts and evolve them into production-ready solutions.
• Collaborate with engineering, product, and support to deploy algorithms in production.

Skills

Python

C++

Deep learning

Computer vision

ML algorithms

Image processing

Research

Collaboration

English

Education

Bachelor’s degree or higher in CS/Engineering/math-related field

Tools

OpenCV

Job description

Daon, Inc. in Dublin, Ireland, offers a hybrid role with three days in the office and two days remote for a Principal Research Scientist.

You will design and implement document-based algorithms for digital onboarding and identity authentication, addressing fraud prevention at scale. You will develop identity document processing using foundation models or traditional ML, collaborating with global teams to deploy production-ready solutions across cloud, server, and mobile platforms.