Lead AI/ML Engineer - Data Modeling

<p><p><b>Role : Lead AI/ML Engineer- : 8-15 Yrs<br/><br/></p><p>Job Location : Description Responsibilities :</b></p><p><br/></p><p>- Threat Simulation : Build and execute red teaming exercises targeting AI systems.<br/><br/></p><p>- 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.</p><p><br/>- Governance and Compliance : Ensure alignment with internal policies for Responsible use of AI.<br/><br/></p><p>- 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.<br/><br/></p><p>- Incident Response : Lead investigations into AI-related security incidents and develop mitigation strategies and post-mortem Qualifications : </b></p><p><br/></p>- Advanced degree (MS or PhD) in Computer Science, Machine Learning, Cybersecurity, or a </p><p>related field.<br/><br/></p><p>- 8+ years of experience in Machine Learning<br/><br/></p><p>- 4+ years of experience in cybersecurity, red teaming, or adversarial testing<br/><br/></p><p>- 3+ years of experience with generative AI systems (e.g., LLMs, agents) and their unique threat Qualifications : </b></p><p><br/></p>- Experience working in regulated industries (e.g., finance, healthcare, defense) with AI </p><p>governance requirements.<br/><br/></p><p>- Knowledge of secure model deployment practices in cloud and edge environments<br/><br/></p><p>- Familiarity with AI safety, fairness, and interpretability frameworks<br/><br/></p><p>- Demonstrated contributions to open-source tools, academic research, or AI security </p><p>communities<br/><br/></p><p>- Proven solid communication skills with the ability to influence executive stakeholders and </p><p>translate technical findings into business impact</p><br/></p> (ref:hirist.tech)