The posting
You will design and deploy machine learning systems for real-time threat detection and anti-abuse protection, combining ML with security engineering.
## 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
## Profile - 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
## Offer - 3–6 months interim, then a permanent position
## Company Online security and privacy technology
Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/machine-learning-engineer-tah-bzvfy/



