Role : Lead AI / ML Engineer- : 8-15 Yrs
Job Location : Description Responsibilities :
- Threat Simulation : Build and execute red teaming exercises targeting AI systems.
- Cross-Functional Collaboration : Partner with AI / ML engineering, enterprise cybersecurity, product, legal, and compliance teams to embed red teaming insights into model development and deployment lifecycles.
- Governance and Compliance : Ensure alignment with internal policies for Responsible use of AI.
- Innovation and Research : Stay ahead of the curve on adversarial ML, model exploitation techniques, and AI safety research; foster a culture of continuous learning and innovation.
- Incident Response : Lead investigations into AI-related security incidents and develop mitigation strategies and post-mortem Qualifications :
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, Cybersecurity, or a
related field.
8+ years of experience in Machine Learning4+ years of experience in cybersecurity, red teaming, or adversarial testing3+ years of experience with generative AI systems (e.g., LLMs, agents) and their unique threat Qualifications :Experience working in regulated industries (e.g., finance, healthcare, defense) with AIgovernance requirements.
Knowledge of secure model deployment practices in cloud and edge environmentsFamiliarity with AI safety, fairness, and interpretability frameworksDemonstrated contributions to open-source tools, academic research, or AI securitycommunities
Proven solid communication skills with the ability to influence executive stakeholders andtranslate technical findings into business impact
(ref : hirist.tech)