At IDnow, we believe innovation is finding solutions to problems that don't yet exist but are sure to impact our future. Making the connected world a safer place is and has been our vision from the very beginning.

Our identity verification SaaS solutions enable businesses to make reliable, informed decisions in an instant. We offer robust, secure and seamless solutions to protect against player fraud, identity theft or forging signatures. It is not only mandatory and reduces business loss, but it also becomes a highly competitive advantage, as customer experience and retention rates improve substantially. We help our clients to increase security, improve customer conversion, and streamline their onboarding process.

We understand that regulation and our clients' requirements are constantly evolving, so we evolve with them. Thanks to our close relationships with industry regulators, our solutions comply with multi-jurisdictional KYC ("Know Your Customer") regulations, allowing customers to process a wide variety of identity documents, and onboard and service consumers from all around the world in different markets and countries.

This position is based in Rennes, France.

IDnow, Europe's leader in identity verification solutions (KYC, eSigning, IDcheck, etc.), is strengthening its RDM (Research Data Management) division. We are looking for a Machine Learning Engineer passionate about data and industrialization to design and operate the tools and data storage that power our software and AI research.

Key Responsibilities

• Design, implement, and manage data storage and data management solutions for our software.
• Develop tools and frameworks enabling AI & ML R&D teams to train our algorithms and allowing engineering teams to run product test campaigns.
• Manage and analyze large data volumes.
• Set up and maintain backend APIs and services that provide reliable and secure internal data access.
• Contribute to the industrialization of data/ML workflows (CI/CD, containerization, deployments) with a strong focus on quality (automated testing).
• Collaborate closely with internal stakeholders (ML teams, product design and development, QA) in an agile environment to prioritize and deliver within a continuous improvement process.

Preferred Experience

Technical Skills:

• Application development in Python (tooling, services, data scripts, packaging).
• API frameworks and REST APIs (FastAPI/Django REST or equivalent).
• Automated testing with pytest; strong quality and coverage mindset.
• SQL databases: strong "wide database culture," mastery of PostgreSQL and MariaDB (modeling, performance, query optimization, migrations).
• Data storage: design and operation of data storage solutions (a major plus).
• Docker: containerization and best practices; basic orchestration appreciated.

Working Environment

• Multidisciplinary teams (AI/ML research, development, QA), agile methodology.
• Internal clients, strong impact on quality and innovation speed.
• Demanding yet supportive environment,
• At the heart of identity verification challenges.
• DevOps: CI/CD setup (GitLab CI), deployment automation (Ansible).
• Linux: day-to-day administration and tooling (shell, security, permissions, networking).

What You'll Bring

• The ability to translate R&D needs into robust, scalable, and well-tested data platforms and tools.
• Technical leadership on data lifecycle management (ingestion, storage, access, traceability) in service of AI and testing.
• An industrialization mindset (automation, reproducibility, observability) applied to ML and data workflows.

Soft Skills

• Motivation and initiative.
• Curiosity, appetite for technical challenges, and continuous learning.
• Team spirit, clear communication with diverse stakeholders (engineers, researchers, QA).
• Rigor, service orientation, and product mindset.
• English required (international environment).

Perks & Benefits

• Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions.
• We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification.
• We make your remote work comfy: we provide support on equipment and offer flexible working hours.
• We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work.
• May your family require your attention or other reasons apply: use the benefit of our paid special leave days.
• Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities.
• In addition to the perks & benefits above, we offer specific benefits that differ between our locations.

IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: sex, race or ethnic origin, religion or convictions, gender identity, citizenship, marital status, disability, age, or sexual orientation.