Description

You lead the development and implementation of advanced AI, ML, and NLP capabilities for security-focused applications.

This role is on-site.

Responsibilities

• Apply Generative AI, Deep Learning, and Reinforcement Learning algorithms to cyber data sets.
• Evaluate, select, and fine-tune LLM tools and models for specific security tasks.
• Curate custom datasets and manage model orchestration solutions.
• Design processes to monitor model performance, data accuracy, and LLM capability boundaries.
• Develop custom models to address sparse data situations.

Required Skills

• 5+ years of applied experience in AI/ML and security engineering.
• Proficiency with Generative AI, ChatGPT, and Large Language Models (LLMs).
• Strong programming skills in Python and Java.
• Experience with scikit-learn and Jupyter Notebook.
• Hands-on experience with Kubernetes.
• Formal training or certification in Security Engineering concepts.

Preferred Skills

• Experience with Transfer Learning techniques.

Key Skills

Education

Any Graduate