Computer Vision Engineer: Fraud Detection & Biometric AI

newrole; Donostia/San Sebastián; Presencial; EUR 55.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Global career path

Tailored trainings

International environment

Descripción de la vacante

newrole is building an eco-system for trusted online education by applying computer vision and deep learning to verify identities and protect integrity. You will join our AI team to enhance and extend CV/ML capabilities in a fast-paced environment.

You'll work on feature creation, model training, and production deployment, collaborating across teams to push the boundaries of technology in education. Remote-friendly, growth-focused culture.

Formación

• Specific training in Computer Vision and Deep Learning.

Responsabilidades

• Formulate innovative approaches to combat fraud using computer vision and machine learning.
• Create new features, train new models, deploy them into production environment.
• Contribute by extending and improving our ML frameworks and platform, creating next-generation capabilities.
• Build and deploy solutions to interesting computer vision or machine learning problems including document data extraction, fraud detection or biometric verification challenges. Design and implement efficient pre-processing steps around digital images or video files.
• Work alongside other machine learning and computer vision specialists in order to deliver on both short term objectives and long term goals.
• Support and guide other engineers in learning about, applying and delivering product features driven by machine learning techniques.

Conocimientos

Computer Vision

Deep Learning

Python

AWS

PyTorch

OpenCV

Startup experience

Herramientas

AWS (Lambda, Sagemaker)

Descripción del empleo

newrole is building an eco-system for trusted online education by applying computer vision and deep learning to verify identities and protect integrity. You will join our AI team to enhance and extend CV/ML capabilities in a fast-paced environment.

You'll work on feature creation, model training, and production deployment, collaborating across teams to push the boundaries of technology in education. Remote-friendly, growth-focused culture.