Description

You will focus on securing AI and Machine Learning systems at scale.

Responsibilities

• Identify, analyze, and benchmark Generative AI augmented, LLM agentic security solutions.
• Conduct proof-of-concept assessments of selected cybersecurity capabilities to validate effectiveness.
• Define security control baselines and evaluation criteria for emerging risk security solutions.
• Integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems.
• Implement secure model development life cycle practices with automated white box and black box assessments for AI/ML models.

Required Skills

• 7+ years of professional experience.
• Expertise in Python and AI concepts.
• Familiarity with AWS cloud infrastructure.
• Experience with Big Data processing.
• Proficiency in Java and JavaScript.
• Hands-on experience with Kubernetes and Linux environments.
• Knowledge of Node.js and React.

Key Skills

Education

Any Graduate