Senior Machine Learning Engineer

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:

· Design and manage end-to-end machine learning pipelines tailored for cybersecurity applications.

· Implement effective data preprocessing and feature engineering strategies specific to cyber threat detection.

2. Expertise in LLMs, Transformers, and Frameworks:

· Utilize large language models and transformers to analyze and predict cybersecurity threats.

· Proficient in frameworks like PyTorch and TensorFlow, applied in the context of cybersecurity.

3. Specialized in Cyber Threat Detection and Mitigation:

· Develop AI-based solutions for the detection and prevention of ransomware and other advanced cyber threats.

· Implement BMC (Baseboard Management Controller) level security measures for data center protection.

· Conduct machine learning-based behavioral analysis for routine operational environments to detect anomalies and prevent intrusion.

4. Edge Computing for Cybersecurity Applications:

· Optimize cybersecurity-focused machine learning models for deployment on edge devices.

· Address the unique challenges of implementing AI solutions in resource-constrained environments.

5. Professional and Research Expertise in Cybersecurity and AI:

· Prefer candidates with experience in cybersecurity and AI, with the ability to turn research into practical solutions.

· Actively engaging in research, staying abreast of the latest threats and technological advancements in cybersecurity.