About the job
Join Axiado as a Senior Machine Learning Engineer with a focus on cybersecurity. We seek a candidate who possesses an in-depth understanding of the dynamic cyber threat landscape and the capability to develop innovative AI-driven solutions to combat these challenges. This role requires expertise in addressing complex cyber-attacks, including ransomware, while ensuring top-tier security in data centers and operational environments.
Key Responsibilities:
1. End-to-End Machine Learning Pipeline Development:
· Design and manage comprehensive machine learning pipelines specifically for cybersecurity applications.
· Implement efficient data preprocessing and feature engineering strategies tailored for cyber threat detection.
2. Expertise in LLMs, Transformers, and Frameworks:
· Leverage large language models and transformers to analyze and predict cybersecurity threats.
· Proficient in frameworks such as PyTorch and TensorFlow in the context of cybersecurity.
3. Specialized in Cyber Threat Detection and Mitigation:
· Create AI-based solutions for the detection and prevention of ransomware and other sophisticated cyber threats.
· Implement BMC (Baseboard Management Controller) level security measures to protect data centers.
· Conduct machine learning-based behavioral analysis in routine operational environments to identify anomalies and thwart intrusions.
4. Edge Computing for Cybersecurity Applications:
· Optimize cybersecurity-focused machine learning models for deployment on edge devices.
· Tackle the unique challenges associated with implementing AI solutions in resource-constrained environments.
5. Professional and Research Expertise in Cybersecurity and AI:
· Candidates with experience in cybersecurity and AI are preferred, with the ability to translate research into practical solutions.
· Engage actively in research, ensuring awareness of the latest threats and technological advancements in cybersecurity.
