AI Security & SOC Engineering Internship

About the role

This internship offers a unique opportunity to work on security operations, AI-assisted vetting, and the development of resilient web systems tailored for defense applications. Interns will engage in hands-on projects that enhance security measures through innovative AI technologies.

Key facts

What you'll do

• Integrate AI technologies to automate the assessment of site vulnerabilities using large language models and predictive analytics.
• Develop real-time dashboards for monitoring security threats and alerts within the Security Operations Center (SOC).
• Create resilient APIs that can efficiently handle high volumes of security logs with minimal latency.
• Apply defensive coding techniques to establish a zero-trust architecture, ensuring strong encryption and thorough input sanitization.
• Design a data ingestion system that securely feeds source code and configurations into AI models for automated threat evaluation.
• Implement autonomous AI agents to perform in-depth behavioral analyses of suspicious online assets.
• Optimize AI model performance by refining prompt caching and context management for efficient vetting processes.
• Construct live dashboards that provide SOC analysts with real-time insights into active threats.
• Automate incident response by coding playbook triggers that quickly isolate compromised sites or block harmful IP addresses.

Requirements

• Bachelor's degree in Technology or Engineering with a focus on Artificial Intelligence and Machine Learning.
• Bachelor's degree in Technology or Engineering with a specialization in Cyber Forensics and Information Security.
• Master's degree in Technology or Engineering with a specialization in Artificial Intelligence and Data Science, particularly in Cyber Security.
• Bachelor of Science (Honors) in a relevant field.
• Commitment to the entire 75-day internship duration.
• Relevant skills and genuine interest in the project focus areas.

Nice to have

• Experience with security information and event management (SIEM) systems.
• Familiarity with security orchestration, automation, and response (SOAR) platforms.

Skills & tools

• Python
• Node.js
• Elasticsearch
• Logstash
• Kibana
• CI/CD
• Docker
• Kubernetes
• AWS
• Machine Learning
• OpenAI
• LangChain
• Hugging Face
• React
• Vue
• JavaScript

Practical notes

• Working hours are from 9:00 AM to 5:00 PM, Monday to Saturday.
• The stipend is disbursed upon successful completion of the internship; attendance below 75% disqualifies eligibility.
• A police verification process is mandatory prior to joining.
• Accommodation is not provided for interns.
• Personal devices such as smartphones and laptops are not allowed on-site; workstations will be available.