Intern - Computer Vision & Machine Learning - Signaturit Group H/F Signaturit

In France, you may know us as Universign (for electronic signatures) and VIALINK (for client onboarding and KYC).

Today, more than 400 experts and passionate professionals, based in Paris, Barcelona, Valencia, and Madrid, are working every day towards our shared success.

Context Overview

At Signaturit Groupour mission is to simplify and secure our clients' digital journeys. We automate and secure critical client interactions such as onboarding, customer verification, and contract signing. As part of a scale-up in the RegTech space, we develop SaaS solutions specialized in digital identity security, electronic signatures, and fraud prevention.

Our platform enables businesses to enhance their client experience with solutions in:

- Electronic Signature: digitization and automation of signing processes
- KYC & ID Verification: online identity and document verification with AI and machine learning

What you will do at Signaturit

The Know Your Customer (KYC) process helps to automate the recognition and verification of typical documents, identify people and protect against identity theft and risk of fraud.

This process is based on the collection, verification and automated management of the elements constituting a customer file (ID documents, RIB, supporting documents), and, moreover on the collection of information from external data sources (Taxes, Sirene, Infogreffe,etc).

This verification relies on the information extracted from the documents and can be an effective way to detect and prevent fraudulent documents.

To streamline the KYC Service, this process requires documents to pass through an end-to-end pipeline, including a Classification service to categorize the documents.

The focus of this internship is to study the current deep learning classification model and enhance its multimodal approach relying on the visual and textual aspects of the documents.

Signaturit's AI Lab develops and maintains models which run in production for our client needs like document image classification and document Object detection, name entity recognition, LLMs, and so on...

What we believe should contribute to your success in this context

You are a final-year student enrolled in a Master's degree (M2) or equivalent, in Computer Vision/ Machine Learning

- Knowledge of machine learning concepts and algorithms (Classification and regression concepts)
- Knowledge of at least one deep learning architecture (e.g. CNN, U-Net, Auto-Encoders, Transformers)
- Knowledge of classic image processing techniques (e.g. filtering, edge detection, morphological operations)
- Python programming language
- Solid skills in linear algebra and statistics Knowledge of one machine learning / deep learning framework : Tensorflow / Keras, Pytorch, scikit-learn
- Fluent in English and French

Interview process (indicative, may require additional stages if required)

- 1st interview with our business (direct report)
- 2nd interview with our business

Join Our Vision

Be part of Signaturit Group's journey to revolutionize digital transactions across Europe and beyond. We are excited to welcome fresh talent who are eager to make a meaningful impact in the digital world.

For more information, explore our and discover how you can contribute to our mission.

* The use of the masculine gender has been adopted for ease of reading and is not intended to be discriminatory.

Signaturit Group is a leading Saas company revolutionizing the way people do business through secure digital transactions. We are the European champions of unified digital transaction management, helping hundreds of thousands of clients in 180 countries authenticate and manage their digital identity, handle client onboarding and KYC (Know Your Customer), electronically sign documents, and securely archive critical transactions.

In France, you may know us as Universign (for electronic signatures) and VIALINK (for client onboarding and KYC).

Today, more than 400 experts and passionate professionals, based in Paris, Barcelona, Valencia, and Madrid, are working every day towards our shared success.

Context Overview

At Signaturit Groupour mission is to simplify and secure our clients' digital journeys. We automate and secure critical client interactions such as onboarding, customer verification, and contract signing. As part of a scale-up in the RegTech space, we develop SaaS solutions specialized in digital identity security, electronic signatures, and fraud prevention.

Our platform enables businesses to enhance their client experience with solutions in:

- Electronic Signature: digitization and automation of signing processes
- KYC & ID Verification: online identity and document verification with AI and machine learning

Electronic Signature: digitization and automation of signing processes

KYC & ID Verification: online identity and document verification with AI and machine learning

What you will do at Signaturit

The Know Your Customer (KYC) process helps to automate the recognition and verification of typical documents, identify people and protect against identity theft and risk of fraud.

This process is based on the collection, verification and automated management of the elements constituting a customer file (ID documents, RIB, supporting documents), and, moreover on the collection of information from external data sources (Taxes, Sirene, Infogreffe,etc).

This verification relies on the information extracted from the documents and can be an effective way to detect and prevent fraudulent documents.

To streamline the KYC Service, this process requires documents to pass through an end-to-end pipeline, including a Classification service to categorize the documents.

The focus of this internship is to study the current deep learning classification model and enhance its multimodal approach relying on the visual and textual aspects of the documents.

Signaturit's AI Lab develops and maintains models which run in production for our client needs like document image classification and document Object detection, name entity recognition, LLMs, and so on...

What we believe should contribute to your success in this context

You are a final-year student enrolled in a Master's degree (M2) or equivalent, in Computer Vision/ Machine Learning

- Knowledge of machine learning concepts and algorithms (Classification and regression concepts)
- Knowledge of at least one deep learning architecture (e.g. CNN, U-Net, Auto-Encoders, Transformers)
- Knowledge of classic image processing techniques (e.g. filtering, edge detection, morphological operations)
- Python programming language
- Solid skills in linear algebra and statistics Knowledge of one machine learning / deep learning framework : Tensorflow / Keras, Pytorch, scikit-learn
- Fluent in English and French

Interview process (indicative, may require additional stages if required)

Knowledge of machine learning concepts and algorithms (Classification and regression concepts)

Knowledge of at least one deep learning architecture (e.g. CNN, U-Net, Auto-Encoders, Transformers)

Knowledge of classic image processing techniques (e.g. filtering, edge detection, morphological operations)

Python programming language

Solid skills in linear algebra and statistics Knowledge of one machine learning / deep learning framework : Tensorflow / Keras, Pytorch, scikit-learn

Fluent in English and French

Interview process (indicative, may require additional stages if required)

- 1st interview with our business (direct report)
- 2nd interview with our business

1st interview with our business (direct report)

2nd interview with our business

Join Our Vision

Be part of Signaturit Group's journey to revolutionize digital transactions across Europe and beyond. We are excited to welcome fresh talent who are eager to make a meaningful impact in the digital world.

For more information, explore our and discover how you can contribute to our mission.

* The use of the masculine gender has been adopted for ease of reading and is not intended to be discriminatory.

At Signaturit Group, we're growing fast and inviting forward-thinking talent to join us in shaping the future of secure digital transactions!

You'll collaborate with diverse teams on innovative projects that make a global impact, whether in tech, sales, customer success, or marketing.