Some of the challenges are to detect physical and digital forgeries, extract textual and visual data from identity documents, evaluate photo content and quality, detect user impersonation attempts, verify legitimate users through facial recognition, and make complex verification data easy for our customers to use and understand.spoofing methods through all process stages until a new feature is deployed into the product.This is a key role helping our product team as an applied scientist with a strategic mind and high research orientation, and first line of developing document anti?Create new features, train new models, deploy them into production environment.Build and deploy solutions to interesting computer vision or machine learning problems including document data extraction, fraud detection or biometric verification challenges.Support and guide other engineers in learning about, applying and delivering product features driven by machine learning techniques.Work alongside other machine learning and computer vision specialists in order to deliver on both short term objectives and long term goals.Help develop robust model training and data infrastructure to support continual optimisation of ML?driven approaches.PhD degree in Computer Science (or related quantitative field) or MS degree in Computer Science with related experience.5+ years of experience building machine learning systems in production, and with real?Experience with cloud?based training and deployment pipelines.Experience training Neural Net architectures for classification, object detection, and segmentation.Excellent coding skills (Python is essential, C++ is considered a plus). Proficiency with some of these machine vision and machine learning frameworks: OpenCV, TensorFlow + Keras,



TensorRT, PyTorch, Pytorch + FastAI. Good working knowledge of the tools in our dev stack, including Git, Google AI Cloud, Docker, and Kubernetes.

A plus Linux, Redis, and ELK stack.Hands on experience working on computer vision and machine learning projects e.Comfortable reading, discussing, and applying research from published papers.Communication is important so we expect you to be able to translate complex ideas into understandable content.Training budget for personal and team formation.A versátil working environment. Currently due to COVID, it is fully remote but for the right person, it can be fully remote regardless. However, we do require you to be in our office from time to time if needed.

Note that this position cannot be fully remote for every candidate and the decision will be made based on the candidate.Additional year end bonus can be offered based on individual performance and company performance.About ALiCEALiCE is a biometric identity verification solution that allows the online onboarding of new clients, reducing identity fraud and maximizing conversion rate. 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.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. xqysrnhGoogle AI Cloud and Kong for underlying infrastructure.Know more about our culture and challenge, please visit our web:

📌 Senior Machine Learning Engineer (Applied Scientist Document Fraud) (La Coruña)
🏢 ALiCE Biometrics
📍 La Coruña