AI Reliability & Red Teaming Engineer
Technopals Pte.Ltd. · India · posted today ago
Listing supplied by Himalayas. 101 Careers did not originate this post and applications are handled by the employer.
About this role
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.
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
