- Location
- Paris, France
- Last Published
- Jun. 12, 2025
- Sector
- Business Applications
- Function
- Software Engineering
As a Machine Learning Engineer at Spendesk, you’ll play a key role in architecting, building, and scaling ML-driven features and infrastructure — including the adoption of GenAI and LLMs — to deliver robust, reliable, and innovative solutions that transform how our users interact with business finance tools.
What you'll do
- Design, implement, and maintain robust ML systems, APIs, and pipelines in production environments
- Build scalable infrastructure for training, deploying and monitoring machine learning models, including LLMs and genAI solutions
- Work closely with product and engineering teams to define clear requirements and deliver impactful ML-powered features (e.g. automated document processing, transaction categorization, fraud and anomaly detection)
- Research, experiment with, and engineer LLMs and GenAI (agents) solutions to improve our OCR capabilities and unlock innovative client features
- Continuously evaluate and adopt new tools and technologies to improve our AI engineering stack and workflows
- Monitor performance and reliability of AI models in production, ensuring robust and scalable operations
Who you are
- MS in Computer Science, Mathematics, or a related field
- 3+ years of experience as a Machine Learning Engineer or Software Engineer with ML/AI focus
- Strong programming skills in SQL and Python
- Hands-on experience working with LLMs
- Experience deploying and operating Machine Learning models in production
- Familiarity with ML Ops tooling (Docker, Kubernetes, etc) and cloud platforms (AWS, GCP, etc) is a plus
- Strong communication skills, able to work effectively with engineers, product managers, and other stakeholders