Python Developer (AI&ML projects) (f/m/d)

Your tasks

Key

These are the core responsibilities of the role

• 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.

Each position will also be specialized in one of the topics, depending on experience:

• Designing and modeling signals into expressive and efficient data structures.
• Building and scaling backend microservices and distributed architecture to support the engine in production.
• Designing and implementing analytical frameworks and decision systems to apply rules and detect fraudulent patterns across data structures

Preferred

You are a curious and rigorous Python developer with a passion for building reliable and impactful systems. You are comfortable working in a complex, data-intensive environment and enjoy collaborating closely with engineers, researchers, and product owners within the AI & ML team. You bring a strong engineering mindset and are eager to contribute to a critical fraud detection engine at scale.

• Bachelor's or master's degree in computer science, Software Engineering , or related field.
• Strong Python development skills with a focus on building production-grade services, with at least 5 years as a Python Developer, with a strong focus on building scalable and high‑performance applications.
• Experience with REST API design and development (OpenAPI/Swagger).
• Good knowledge of Microservices architecture principles and patterns.
• Experience with Graph databases and query languages (Neo4j, Neptune, Cypher, Gremlin).
• Containerization with Docker.
• Strong problem-solving and analytical mindset.
• Ability to work collaboratively in a cross-functional team.
• Rigor, service orientation, and product mindset.
• Curiosity, appetite for technical challenges, and continuous learning.

Strong plus

• Experience with fraud detection algorithms, machine learning, and artificial intelligence.
• Graph Machine Learning (GraphSAGE, Node2Vec, GNN, PyG).
• GenAI and LLM-assisted analysis, rule generation, and anomaly explanation.

Nice to have

• Message queues and asynchronous communication (Kafka, RabbitMQ).
• Experience with C++ development.
• Unsupervised learning for unknown fraud pattern discovery.
• CI/CD pipelines (GitHub Actions, AWS CodePipeline).
• Unit, integration, and load testing.
• Kubernetes for container orchestration.
• Performance profiling and observability tools (Grafana,

).

& 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

Contact

To apply to the (same) position based in Rennes, France, please apply here ..

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation