Senior Machine Learning Engineer

Responsibilities

• Design and manage end-to-end machine learning pipelines for cybersecurity applications
• Implement data preprocessing and feature engineering for cyber threat detection
• Utilize LLMs and transformers to analyze and predict cybersecurity threats
• Develop AI-based solutions for detecting and preventing ransomware and advanced threats
• Implement BMC level security measures for data center protection
• Conduct machine learning-based behavioral analysis to detect anomalies
• Optimize machine learning models for deployment on edge devices in resource-constrained environments

Requirements

• 5+ years of experience in machine learning and cybersecurity
• Bachelor's or Master’s degree in Computer Science, Cybersecurity, Engineering, or a related field
• Strong programming skills in Python
• Experience with ML libraries and frameworks
• Ability to solve complex problems and work collaboratively

About the Company

Axiado is building the future of AI powered digital infrastructure. We are a fast-growing, well funded silicon, systems, and solutions company pioneering a new category of semiconductor called the Trusted Control/Compute Unit (TCU) that combines advanced hardware security, AI driven resilience and efficiency, and real-time platform management.