AI Red Teamer
On site
London, United Kingdom
Full Time
03-03-2025
Job Specifications
This is an AI/Consultant Role, below is the details.
Responsibilities:
Red Teaming AI Models and Systems:
Design and execute red teaming exercises to identify potential vulnerabilities in AI models and systems.
Develop scenarios and simulate attacks to test the robustness and resilience of AI solutions.
Collaborate with AI developers and engineers to provide feedback and recommendations for improvement.
Technical Assessments:
Conduct thorough technical assessments of AI models and systems, focusing on responsible AI and governance practices.
Evaluate controls and potential vulnerabilities related to bias, explainability, safety, and security.
Prepare reports and presentations to communicate findings and recommendations to stakeholders.
Required Skills
Proven experience in conducting technical testing and assessments for AI models and systems.
Strong understanding of responsible AI practices and governance controls.
Familiarity with AI-related risks, including bias, explainability, safety, and security.
Proficient in AI and machine learning technologies and methodologies.
Skilled in using red teaming tools and techniques.
Ability to analyze complex systems and identify potential vulnerabilities.
Excellent written and verbal communication skills.
Ability to convey complex technical information to non-technical audiences.
Ability to perform a consultant role for both internal teams and external clients.
Strong interpersonal skills and the ability to work effectively in a team-oriented environment.
Preferred Skills
Proven track record in managing or leading teams focused on Trusted/Responsible AI for both Traditional and Generative AI systems.
Strong understanding of Responsible AI principles and their application in real world scenarios.
Expertise in detecting and addressing algorithmic biases.
Designing fair models for diverse datasets and use cases.
Hands on experience with tools and techniques for explaining AI models (ex.SHAP, LIME).
Knowledge of privacy preserving techniques such as differential privacy and federated learning.
Experience in ensuring compliance with privacy laws and regulations (ex. GDPR, CCPA).
Proficiency in quantifying and managing uncertainty in AI predictions.
Understanding of adversarial attack methods and defense mechanisms.
Ability to design robust systems that mitigate adversarial vulnerabilities.
Experience in benchmarking both Traditional AI / Generative AI models across multiple AI domains.
Familiarity with performance benchmarking, trade offs and optimization techniques.
Computer Vision: Object detection, image segmentation, etc.
NLP: Language models, text classification, summarization, etc.
Generative AI: Assessment of LLMs, diffusion models, etc.
Code Intelligence: code generation, bug detection, and refactoring.
Environmental Impact: Estimation AI carbon footprints.
Ability to communicate complex AI systems to non technical stakeholders.
Preferred Qualifications
Master’s or PhD in Computer Science, AI, Data Science, or a related field.
Certifications in Responsible AI, Ethical AI, or AI Governance.
Hands on experience with AI auditing and regulatory compliance frameworks (ex.ISO 42001, NIST AI RMF, EU AI Act).
About the Company
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending Dece... Know more
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