SENIOR MACHINE LEARNING ENGINEER (APPLIED SCIENTIST DOCUMENT FRAUD)

ALiCE is a biometric identity verification solution that allows the online onboarding of new clients, reducing identity fraud and maximizing conversion rate. ALiCE offers a frictionless user’s identity verification in a two-step process: user takes a selfie and captures his ID card, ALiCE does the rest.

ALiCE Biometrics, as a spin-off from the R&D Technology Center Gradiant, was born with the mission of developing the best-in-class onboarding identity verification solution that uses Deep-Learning based Face Recognition and Passive Liveness Detection technology. 

We use a lot of exciting technology. This is our technology stack:

• Python for our service back-end code.

• React, Swift, Kotlin and Javascript (based on Vue.js framework) for front-end work.

• RabbitMQ and ELK stack for events queue management, observability and visual representation. 

• Domain Driven Design as main principle to domain modeling and keep focus on the product.

• Test Driven Development to encourage the Outside-In design and improve the quality of our code.

• Github for repositories management.

• Github Actions for Continuous Integration and Continuous Deployment.

• Notion for project management and documentation.

• Kubernetes, Docker and Helm to orchestrate our services.

• Google AI Cloud and Kong for underlying infrastructure.

Know more about our culture and challenge, please visit our web: https://alicebiometrics.com/jobs