AI Specialist

Required Qualifications:

• Expertise in Large Language Models (LLMs): Proven experience in fine-tuning and optimizing large language models (e.g., GPT, BERT, T5) for cybersecurity use cases. Deep knowledge of how to leverage these models for offensive cyber NLP tasks.
• Proficiency in C Programming: Extensive hands-on experience in low-level programming, particularly in C.
• Machine Learning Frameworks: Experience using machine learning libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, etc., for model training and fine-tuning.
• Cybersecurity Knowledge: Strong understanding of core offensive cyber topics.
• Data Engineering & Preprocessing Skills: Proficiency in data preprocessing, feature extraction, and working with large datasets, with experience using tools like NumPy, pandas, and SQL.
• AI Model Deployment & Monitoring: Experience deploying AI models in production, with an emphasis on performance optimization and monitoring for real-time systems. Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment.
• Performance Optimization in C: Experience optimizing algorithms and code in C for maximum performance, particularly in handling high-throughput data and reducing latency in security-critical applications.

Preferred Qualifications:

• Advanced Degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Cybersecurity, or a related field.
• Experience with real-time data processing and stream processing frameworks.
• Familiarity with other low-level languages (C++, Rust) is a plus.
• Knowledge of network security protocols, firewalls, and encryption techniques.
• Understanding of secure coding practices and how to apply them in AI systems.