Développeur Apprentissage Machine Appliquée Intermédiaire

Design, build, and deploy production-grade machine learning systems. Translate ambiguous problem spaces into reliable, scalable solutions.

Requirements

• Strong experience building production ML/data pipelines
• Hands-on experience with Python backend development
• Practical experience with information extraction / NLP pipelines
• Experience designing hybrid ML systems
• Ability to evaluate ML system performance rigorously
• Experience deploying and operating systems in production

Benefits

• Small, collaborative team with a high degree of ownership
• Product-focused development with an emphasis on practical outcomes
• Opportunity to work on complex, real-world data challenges