Description

You will design and implement AI-driven cybersecurity automation solutions, focusing on LLM-based threat detection and incident response.

This role is on-site.

Responsibilities

• Design, develop, and implement LLM-based AI models to automate threat detection and incident response workflows.
• Integrate AI-driven recommendations into SIEM and SOAR systems in collaboration with security analysts.
• Optimize and fine-tune LLMs using structured incident response data and threat intelligence sources like MISP.
• Develop Python-based automation scripts to enhance AI-driven cybersecurity processes.
• Collaborate with business analysts and cybersecurity teams to translate business needs into technical solutions.

Required Skills

• 5+ years of experience in AI/ML engineering with a focus on Generative AI and LLMs.
• Proficiency in Python.
• Experience with AI/ML frameworks including TensorFlow, PyTorch, or Hugging Face.
• Experience integrating AI-driven solutions into cybersecurity platforms (SOAR, SIEM).
• Understanding of threat intelligence tools like MISP and incident response processes.
• Familiarity with data preprocessing, model training, and fine-tuning LLMs on domain-specific data.
• Strong problem-solving skills related to AI-driven automation.

Preferred Skills

• Experience translating complex business requirements into technical AI solutions.

Key Skills

Education

Any Graduate