What are the responsibilities and job description for the Senior Machine Learning Engineer - Cybersecurity position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Aziro Technologies LLC, is seeking the following. Apply via Dice today!
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:
Senior Machine Learning Engineer - Cybersecurity
- San Jose, CA, USA
- Full-time
- Department: ML
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.
- 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.