TL;DR
Intern - Computer Vision & Machine Learning: Studying and enhancing the current deep learning classification model for document verification, with an accent on a multimodal approach relying on visual and textual aspects. Focus on improving models running in production for client needs like document image classification and object detection.
Location: Onsite in Paris, Barcelona, Valencia, or Madrid
Company
hirify.global is a leading SaaS company in the RegTech space, revolutionizing digital transaction management and security across Europe.
What you will do
- Study the current deep learning classification model.
- Enhance the model's multimodal approach using visual and textual document aspects.
- Contribute to the KYC process automation for document recognition and verification.
- Work on models for document image classification and object detection.
- Help streamline the KYC service pipeline.
Requirements
- Final-year Master’s degree (M2) student or equivalent in Computer Vision/Machine Learning.
- Knowledge of machine learning concepts and algorithms (Classification and regression).
- Knowledge of at least one deep learning architecture (e.g., CNN, U-Net, Auto-Encoders, Transformers).
- Knowledge of classic image processing techniques.
- Strong Python programming skills.
- Solid skills in linear algebra and statistics.
- Familiarity with machine learning/deep learning frameworks like Tensorflow/Keras, Pytorch, scikit-learn.
- Fluent in English and French.
Culture & Benefits
- Be part of hirify.global's journey to revolutionize digital transactions across Europe and beyond.
- Opportunity to make a meaningful impact in the digital world.
- Work within a leading SaaS company specializing in digital identity security and fraud prevention.
- Contribute to a scale-up in the RegTech space.
- Join a team of over 400 experts and passionate professionals.
Hiring process
- First interview with your direct report.
- Second interview with business leadership.
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