AI Reliability & Red Teaming Engineer

Technopals Pte.; Polska; On-site; PLN 61,000 - 113,000; Full time

Job summary

Technopals Pte.Ltd. is seeking a skilled ML Engineer to lead the technical stress-testing of AI systems, focusing on adversarial robustness, bias detection, and mitigation of hallucinations. The role emphasizes proactive red teaming and continuous monitoring in a remote setup.

You will design adversarial attacks, build the monitoring stack, and collaborate with Data Scientists to apply fairness techniques when bias is identified, ensuring reliable model behavior.

Qualifications

• BS/MS in Data Science, Mathematics, or Cybersecurity.
• 4+ years in ML Engineering with a focus on model security or reliability.
• Expert Python skills; deep experience with PyTorch, TensorFlow, and MLOps pipelines.

Responsibilities

• Red Teaming: Design and execute adversarial attacks against LLMs and predictive models.
• Automated Monitoring: Build and maintain the Continuous Control stack using tools like Evidently AI or WhyLabs.
• Bias Remediation: Collaborate with Data Scientists to implement algorithmic fairness techniques when bias is detected.

Skills

Python

PyTorch

TensorFlow

MLOps

Education

BS/MS in Data Science, Mathematics, or Cybersecurity

Tools

Evidently AI

WhyLabs

Job description

• Industry Information Technology and Services
• Work Experience 7 years
• Nationality Open for foreigners
• City Remote
• Country India
• Postal Code 000000

Job Description

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.

Technopals Pte.Ltd. is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.