Data Scientist, Computer Vision

This is a fully remote position, open to applicants in Spain.

📋 Description

• Utilize machine learning, deep learning, and computer vision methodologies for the analysis, authentication, and fraud detection of identity documents.

• Design and implement algorithms focused on document processing for digital onboarding and identity verification solutions.

• Develop solutions capable of authenticating identity documents, identifying tampered documents, and preventing fraud.

• Create algorithms for processing identity documents using either foundation models or traditional machine learning, as well as image processing and computer vision, based on deployment constraints.

• Prototype initial concepts and subsequently transform them into fully operational production-ready solutions.

• Work collaboratively with engineering, product, and support teams to implement algorithms in production and oversee ongoing enhancements.

• Develop algorithm components suitable for cloud, server, and mobile deployment environments.

• Test, assess, and configure solutions for processing and analyzing identity documents.

⛳️ Requirements

• A Bachelor’s degree or higher in Computer Science, Engineering, a mathematics-related discipline, or an equivalent field.

• A strong enthusiasm for leveraging machine learning and computer vision to tackle real-world challenges related to documents and identity.

• Proven experience in developing and assessing advanced machine learning and computer vision algorithms.

• A solid foundation in traditional machine learning and computer vision techniques (experience in document processing is a plus).

• High proficiency with contemporary deep learning frameworks and foundation models.

• Experience in low-resource environments, transfer learning, or utilizing unsupervised/lightly supervised learning methods.

• Strong Python programming skills for research and application development; familiarity with C++ is an advantage.

• Working knowledge of image processing libraries and toolkits.

• Commercial experience in document capture and validation is a plus.

• Experience in data curation, annotation, and the generation of synthetic training data.

• A quick learner with a robust mathematical aptitude.

• Excellent collaboration skills and the capability to work effectively within an established international team are essential.

🏝️ Benefits

• Competitive compensation and benefits package.

• A flexible working environment that promotes a healthy work-life balance.