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.