AI Reliability & Red Teaming Engineer

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.

Skills

MLOps, PyTorch, Python, TensorFlow