Machine Learning Engineer

You will design and deploy machine learning systems for real-time threat detection and anti-abuse protection, combining ML with security engineering.

Vos tâches

• Design and deploy scalable ML systems using modern MLOps practices, including real-time inference and monitoring
• Architect agentic AI systems for autonomous threat detection and adaptive policy enforcement
• Build tools for model development, debugging and explainability
• Optimize ML workflows for distributed environments handling large-scale data
• Collaborate with security analysts and backend/frontend engineers
• Advance ML techniques for anti-abuse and account security

Ce que vous apportez

• Degree in Computer Science or a related quantitative field
• 2+ years hands-on experience building and running ML systems
• Production-level ML expertise with models at real-world scale
• Hands-on experience with LLMs in agentic environments
• Strong proficiency in Python and backend/server fundamentals
• Deep understanding of probability, hypothesis testing and experimental design

Conditions

• Taux d'activité: 100 %
• Modèle de travail: Sur site
• Option d'engagement fixe après la mission, si les deux parties le souhaitent

Ce qui vous attend

• 3–6 months interim, then a permanent position

Technologies

• Python
• LLMs

Comment postuler

Vous postulez avec votre profil Try&Hire : téléchargez votre CV, vérifiez les informations, indiquez les données clés et votre disponibilité. Une courte vidéo de présentation est facultative, mais elle aide. Notre équipe vous contacte si votre profil correspond à la mission.