We are on the lookout for a Machine Learning Engineer with a specialized focus on cybersecurity. The candidate should have a comprehensive understanding of the evolving landscape of cyber threats and be equipped with the skills to develop AI-driven solutions to these challenges. This role demands expertise in handling and mitigating sophisticated cyber-attacks such as ransomware, as well as ensuring high-level security in data centers and operational environments.
Key Responsibilities:
1. End 2 End Machine Learning Pipeline Development:
路 Design and manage end-to-end machine learning pipelines tailored for cybersecurity applications.
路 Implement effective data preprocessing and feature engineering strategies specific to cyber threat detection.
2. Expertise in LLMs, Transformers, and Frameworks:
路 Utilize large language models and transformers to analyze and predict cybersecurity threats.
路 Proficient in frameworks like PyTorch and TensorFlow, applied in the context of cybersecurity.
3. Specialized in Cyber Threat Detection and Mitigation:
路 Develop AI-based solutions for the detection and prevention of ransomware and other advanced cyber threats.
路 Implement BMC (Baseboard Management Controller) level security measures for data center protection.
路 Conduct machine learning-based behavioral analysis for routine operational environments to detect anomalies and prevent intrusion.
4. Edge Computing for Cybersecurity Applications:
路 Optimize cybersecurity-focused machine learning models for deployment on edge devices.
路 Address the unique challenges of implementing AI solutions in resource-constrained environments.
5. Professional and Research Expertise in Cybersecurity and AI:
路 Prefer candidates with experience in cybersecurity and AI, with the ability to turn research into practical solutions.
路 Actively engaging in research, staying abreast of the latest threats and technological advancements in cybersecurity.