AI Reliability & Red Teaming Engineer
Technopals Pte.Ltd.
IndiaremotePosted 12 days ago
Skill Required
AI-Reliability-EngineeringRed-Team-EngineerML-Security-EngineerAI-Security-EngineerAdversarial-ML-EngineerAI-Red-Team-Security-EngineerAI-Red-Team-SpecialistAI-Testing-EngineerAI-Cybersecurity-EngineerAI-Red-Team-TesterAI EngineerAIEngineeringCybersecurityTensorFlowObservabilitysecurityPyTorchTestNGPythondesignMachine LearningGenerative AIandFulltime
Key highlights
- 4+ years in ML Engineering
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.
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.
Requirements
- 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.
Additional details
- Originally posted on Himalayas