ML & AI Engineer (Python) (f/m/d)

IDnow; Rennes; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Mental health & wellbeing programs

Udemy training platform access

Flexible working hours

Job summary

IDnow in Rennes, France is seeking an experienced Python Developer to join our AI & ML team to design and productionize AI-based fraud detection micro-services in our distributed architecture.

You will design, develop, and optimize Python services, work with graph databases, and collaborate with product to scale secure, reliable fraud prevention capabilities.

Qualifications

• 5+ years of Python development experience building scalable services.
• Strong knowledge of graph database architectures.
• Familiar with ML basics and AI concepts.
• Experience with Docker and CI/CD practices.
• Proficient in Git and Agile/Scrum methodologies.
• Fluent in English and professional French.
• Bachelor’s or Master’s degree in CS or related field.
• Experience in fraud detection is a plus.

Responsibilities

• Design, develop, and maintain Python micro-services for fraud detection.
• Build and optimize graph databases for relational analysis.
• Ensure code quality through testing and code reviews.
• Monitor performance and implement improvements.
• Collaborate with the product owner to align with the roadmap.
• Translate complex algorithms into reliable, production-grade services.

Skills

Python

Graph databases

Machine Learning basics

Docker

Git

Agile/Scrum

French & English

Education

Bachelor’s or Master’s in CS/Software Engineering

Tools

Neo4j

Docker

Git

Job description

IDnow is a leader in digital identity and fraud prevention in Europe with a mission to transform trust into the most powerful asset in the digital world, empowering enterprises with AI-driven, SaaS-based identity solutions that deliver scalable security, adaptive compliance, and real-time fraud prevention. Through its broad portfolio of digital identity and fraud prevention solutions, IDnow establishes, maintains and enriches trust throughout the customer journey, ensuring businesses can confidently and securely operate while leveraging digital identity to drive growth, security and scalability.

The company has offices in Germany, United Kingdom, Romania and France, and is backed by renowned institutional investors, including Corsair Capital and Seventure Partners. Its portfolio of international clients spans a wide range of end markets including financial services, telecommunications, travel & mobility, gaming, and other industries.

This position is based in Rennes, France.

As an experienced Python Developer, you will join our AI & ML team responsible for developing and integrating AI‑based fraud detection algorithms into our micro‑services infrastructure. Your objective will be to design such services and bring our algorithms from the prototyping stage to production for continuous improvement of our fraud detection and prevention capabilities.

Key Responsibilities

• Design, develop, and maintain Python micro‑services that form the foundation of our fraud detection platform.
• Design, integrate, and operate graph‑oriented databases for advanced relational analysis.
• Ensure code quality through thorough testing and participate in code reviews.
• Monitor micro‑service performance and provide timely improvements and bug fixes.
• Work closely with the product owner to understand customer needs and contribute to the product roadmap.
• Optimize algorithms and services to ensure high performance, scalability, and consistent reliability.

Preferred Experience

• You are an expert in Python with strong skills in building complex services, ideally related to fraud detection.
• You master graph database architecture.
• You have basic knowledge of Machine Learning and Artificial Intelligence.
• Curious, rigorous, and impact‑oriented, you know how to transform raw, complex algorithms into reliable and operational services within a critical architecture.
• Bachelor's or master's degree in computer science, Software Engineering, or related field.
• Proven experience of at least 5 years as a Python Developer, with a strong focus on building scalable and high‑performance applications.
• Solid understanding of data structures, relational databases, graph‑oriented databases, algorithms, and object‑oriented design principles.
• Experience with containerization using Docker.
• Strong documentation skills.
• Strong knowledge of version control systems such as Git.
• Excellent problem‑solving abilities and critical‑thinking skills.
• Strong communication skills and a team‑player mindset.
• Good knowledge of the Agile/Scrum framework.
• Familiarity with micro‑services architecture.
• Fluent English and Professional French are both required.

Nice To Have

• Experience with fraud detection algorithms, machine learning, and artificial intelligence is a strong plus but not mandatory.
• Experience with C++ development is a strong plus but not mandatory.
• Experience as a technical lead or staff engineer is a strong plus but not required.

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.

Equality & Diversity

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.