AI Specialist with Security Clearance

OVERVIEW: We are seeking an AI Specialist with deep expertise in large language models (LLMs), focused on fine-tuning and deploying these models for cybersecurity applications. In this role, you will combine your knowledge of AI with low-level programming (primarily C) to optimize systems for security purposes, focusing on performance, efficiency, and real-time threat detection. Your efforts will directly contribute to the development of cutting-edge AI solutions that address the most pressing cybersecurity challenges today. GENERAL DUTIES: LLM Fine-Tuning & Model Development: Fine-tune and train large language models (LLMs), such as GPT and BERT, for specific offensive cybersecurity applications. C Programming for Cybersecurity Systems: Develop and optimize low-level code in C for high-performance components of AI-driven cybersecurity systems. Focus on optimizing AI model inference and ensuring the efficient handling of security relevant data. Integration of AI with Developers: Collaborate with developers to integrate fine-tuned LLMs into existing workflows. Data Handling & Preprocessing: Work with large datasets, including open and closed-source software repositories for model tuning. Model Deployment & Performance Optimization: Deploy models into production environments with a focus on scalability and real-time performance. Cybersecurity-Specific NLP Tasks: Use LLMs to address cybersecurity-specific task . Research & Innovation: Continuously explore new techniques in both cybersecurity and AI to innovate and improve security systems. Stay up-to-date with the latest advancements in LLMs and low-level system optimizations for real-time AI applications. 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. DESIRED 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. CLEARANCE: TS/SCI minimum