Description

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

Responsibilities

• Apply advanced algorithms for Generative AI, Deep Learning, Transfer Learning, and Reinforcement Learning to cyber data sets.
• Evaluate and select LLM tools and models for specific tasks.
• Curate custom datasets and perform LLM fine-tuning.
• Design and implement processes to monitor model performance, data accuracy, and LLM capability boundaries.
• Manage multiple model orchestration and develop solutions for sparse data situations.

Required Skills

• 5+ years of applied experience in AI/ML and security engineering concepts.
• 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.
• Ability to develop custom models when existing models are insufficient.
• Formal training or certification in Security Engineering concepts.

Key Skills

Education

Any Graduate