AI Reliability & Red Teaming Engineer

Role Overview

​Your mission is to break our models before someone else does. You will lead the technical stress-testing of our AI systems, focusing on Adversarial Robustness, Bias detection, and Hallucination mitigation.

​Key Responsibilities

​Red Teaming: Design and execute adversarial attacks (prompt injection, data poisoning) against LLMs and predictive models.

​Automated Monitoring: Build and maintain the "Continuous Control" stack using tools like Evidently AI or WhyLabs.

​Bias Remediation: Partner with Data Scientists to implement algorithmic fairness techniques when bias is detected.

​Qualifications

​Technical Stack: Expert Python skills; deep experience with PyTorch, TensorFlow, and MLOps pipelines.

​Education: BS/MS in Data Science, Mathematics, or Cybersecurity.

​Experience: 4+ years in ML Engineering with a focus on model security or reliability.