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.

Your tasks

• 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

What you bring

• 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

• Workload: 100 %
• Work model: On site
• Option of a permanent position after the assignment if both sides want it

What to expect

• 3–6 months interim, then a permanent position

Technologies

• Python
• LLMs

How to apply

You apply with your Try&Hire profile: upload your CV, check the details, enter key facts and availability. A short introduction video is optional but helps. Our team will get in touch if your profile fits the assignment.