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.