About us

Signaturit Group is a leading SaaS software company, specializing in LegalTech. 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 Vialink, now part of the Signaturit Group, our mission is to simplify and secure our clients' digital journeys by automating and securing critical 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 Vialink 360 platform enables businesses to enhance their client experience with solutions such as:

- Electronic Signature: digitization and automation of signing processes

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

To achieve this mission, we are looking for a Machine Learning / Computer Vision Engineer to support our strong growth and expand our Data & AI capabilities.

The team's objective is to develop AI solutions around documents and data, addressing product needs such as KYC verification. You'll be instrumental in driving deep learning model development and advancing the industrialization of services accessible via APIs.

In this role, you'll join an R&D team of security experts, driven by values of passion, quality, rigor, and collaboration.

What you will do at Signaturit

• Contribute to the advancement of Data & AI (Data Science, Data Engineering, Annotation)
• Participate actively in sprint tasks, engaging in all stages of the development lifecycle
• Join the team in monitoring tech trends and innovations in AI
• Support the supervision and production of our AI services
• Lead studies on Computer Vision, Machine, and Deep Learning
• Draft scientific study reports
• Develop new features and resolve bugs
• Conduct production incident investigations
• Write comprehensive tests (unit, end-to-end, integration)
• Contribute to product vision with your technical expertise
• Be involved in the design phase
• Participate in workshops to estimate the development cost of features on the roadmap

What we believe should contribute to your success in this context

• Minimum of 5 years' experience in data science or a related field.
• Proficient with Linux and IDEs like Visual Studio Code or PyCharm.
• Strong Python skills.
• Skilled in at least one deep learning framework (TensorFlow, Keras, PyTorch).
• Experience with deep learning architectures (CNN, YOLO, UNET, Visual Transformers, BERT).
• Familiar with classic computer vision/image processing algorithms.
• Knowledge of CI/CD pipelines (Jenkins, GitHub Actions).
• Solid understanding of the software development lifecycle.
• Fluent in English (written and spoken).
• Transparent and open in communication.

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

• HR Discovery Call (30 min)
• 1st interview with our business (direct report)
• Technical test (Testdome)
• 2nd interview with our business & business case feedback
• Reference check

Why Join Us

• 34 days paid vacation
• Hybrid teleworking
• Flexible working hours
• Alan
• Restaurant card
• Sustainable Mobility Package

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 website and discover how you can contribute to our mission.

Department TECH Locations Paris, La Défense Remote status Hybrid