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
#J-18808-Ljbffr
Machine Learning Engineer in Genf Arbeitgeber: Try&Hire
Als Arbeitgeber in Bern bieten wir Ihnen die Möglichkeit, an spannenden Großprojekten im Bereich Bahnbeschaffung mitzuwirken. Unsere offene und kollegiale Unternehmenskultur fördert den Austausch von Ideen und die persönliche Weiterentwicklung. Zudem profitieren Sie von flexiblen Arbeitszeiten und attraktiven Weiterbildungsmöglichkeiten, die Ihre Karriere vorantreiben.
