Senior Machine Learning Engineer - Cybersecurity

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.

Qualifications

• 5+ years of experience in machine learning and cybersecurity.

• Bachelor's or Master’s degree in Computer Science, Cybersecurity, Engineering, or a related field with a focus on AI/ML.

• Strong programming skills in Python, with experience in relevant ML libraries and frameworks.

• Demonstrated ability to solve complex problems and a commitment to innovation in the field of cybersecurity.

• Excellent communication skills and the ability to work collaboratively in a team environment.