Bachelor's or master’s degree in computer science, Information Security, AI/ML, or a related field.

5+ years of experience in cybersecurity or security engineering, including at least 1–2 years working with AI/ML systems.

Strong understanding of machine learning pipelines, model lifecycle, and AI-specific vulnerabilities.

Proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

Experience with cloud security (AWS, GCP, or Azure), particularly in AI/ML contexts.

Familiarity with LLMs, vector stores, RAG architecture, and prompt engineering security considerations.