Security Engineer

About the role: You'll play a critical role in securing the company's AI/ML infrastructure, helping to build out end-to-end safeguards across data pipelines, model training environments, and deployment systems. This is a hands-on engineering role for someone who understands both traditional security practices and the unique challenges posed by modern AI/ML stacks.Key responsibilities include: Designing and implementing security controls tailored to AI/ML workflows Identifying and mitigating ML-specific risks (e.g., model theft, adversarial inputs, data poisoning) Working closely with engineering and data science teams to embed security into model lifecycles Developing tooling and automation for secure deployment and continuous monitoring Staying current on the evolving threat landscape in AI and contributing to internal knowledge sharing About you: 5+ years of experience in security engineering, ideally with exposure to ML systems Strong knowledge of threat modeling, secure coding, and cloud infrastructure security (AWS/GCP/Azure) Familiarity with ML frameworks (e.g., Py Torch, Tensor Flow) and data platforms (e.g., Spark, Airflow) Proficiency in scripting or software development (Python preferred) Bonus: Experience in areas like LLM security, model interpretability, or data governance Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at #J-18808-Ljbffr