Research & Development Internship

Responsibilities:

• Develop AI-powered solutions for log analysis and security event monitoring.
• Build automation workflows for SOC operations, alert triage, and incident response.
• Analyze logs from firewalls, endpoints, servers, cloud platforms, and SIEM solutions to identify anomalies and potential threats.
• Design and implement Machine Learning or LLM-based models for cybersecurity use cases.
• Develop Python-based tools for parsing, correlating, and processing security logs.
• Integrate AI solutions with SIEM, EDR, cloud, and security monitoring platforms using APIs.
• Create dashboards and reports to visualize security insights and AI-generated recommendations.
• Conduct research on emerging AI applications in cybersecurity and evaluate new techniques.
• Document technical findings and collaborate with the engineering team on product development.

Requirements:

• Pursuing or recently completed a degree in Computer Science, Information Security, Artificial Intelligence, Data Science, or a related field.
• Strong programming skills in Python.
• Basic understanding of cybersecurity concepts, including network security, SOC, SIEM, logs, and incident response.
• Familiarity with Machine Learning fundamentals and AI frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Knowledge of Large Language Models (LLMs), prompt engineering, or AI agents is a plus.
• Understanding of Linux, REST APIs, Git, and SQL/NoSQL databases.
• Strong analytical and problem-solving skills with an interest in security automation.
• Good communication skills and the ability to work independently in a research-driven environment.
• Experience with cloud platforms (AWS, Azure, or GCP), Docker, or Kubernetes is an added advantage.