Position: Artificial Intern
Duration: 3 to 6 months
Job ID: AII_001
Job Summary
We are seeking a motivated Artificial Intelligence Intern to join our cybersecurity team, where you’ll apply data science to enhance security practices and develop innovative AI-driven solutions. In this role, you’ll assist in building, fine-tuning, and deploying generative AI models to detect, assess, and mitigate security threats. You will work with advanced tools and languages such as Python, SQL, and JavaScript to support tasks related to data extraction, threat intelligence, and cybersecurity model development.
Responsibilities
• Collaborate with cross-functional teams to gather requirements and deliver generative AI solutions.
• Assist in developing, fine-tuning, and deploying machine learning models using Python and deep learning frameworks like TensorFlow and PyTorch.
• Perform data extraction, manipulation, and analysis using SQL and Pandas.
• Contribute to model deployment by developing backend solutions in JavaScript (Node.js) and integrating with web applications.
• Conduct data pre-processing and visualization using Python and R.
• Optimize code for performance and efficiency, using C++/C and Rust where necessary.
• Create project documentation and assist in code testing, debugging, and optimization.
• Support AI model performance monitoring, versioning, and improvement based on feedback.
Qualifications:
• Education: Currently pursuing or recently graduated with a degree in Computer Science, Data Science, Information Technology, or a related field.
• Knowledge of Programming Languages:
• Python: Proficiency with libraries such as TensorFlow, PyTorch, Pandas, and NumPy.
• SQL: Familiarity with SQL for data manipulation and retrieval.
• JavaScript: Basic experience with Node.js for backend and API integration.
• C++/C or Rust: Knowledge of these languages is a plus for performance optimization.
• Shell Scripting (Bash): Basic scripting skills for environment setup and workflow automation.
Preferred Skills and Competencies:
• Analytical and Problem-Solving: Strong analytical skills with attention to detail and problem-solving capabilities.
• Communication: Ability to convey complex ideas effectively and work within a team environment.
• Curiosity and Learning Mindset: Willingness to explore new tools, frameworks, and AI advancements.
