What are the responsibilities and job description for the Senior Machine Learning Engineer - Cybersecurity position at Aziro Technologies LLC?
Job Description
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:
- 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.
- 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.
- 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.
- 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.
- 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.