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.

Originally posted on Himalayas