Description

Secure AI/ML implementations and evaluate the security posture of generative AI products.

This role is hybrid.

Responsibilities

• Attack GenAI products and platforms to identify vulnerabilities.
• Apply deep learning and computer vision principles to security workflows.
• Implement security controls within cloud environments.
• Evaluate Large Language Models and NLP pipelines for security risks.

Required Skills

• 12+ years of hands-on experience in cybersecurity or information security.
• 4+ years of advanced Python programming.
• 4+ years of experience with the standard ML stack including TensorFlow, Torch, NumPy, and Pandas.
• 4+ years of experience in cloud environments such as Azure, AWS, or GCP.
• Proficiency in AI/ML fundamentals, including deep learning and computer vision.
• Experience with Natural Language Processing (NLP) and Large Language Models (LLM).
• Demonstrated ability in attacking GenAI platforms.

Preferred Skills

• Expertise in attacking GenAI products and platforms.

Key Skills

Education

Any Graduate