Aziro Technologies LLC
Senior Machine Learning Engineer - Cybersecurity
San Jose, California, USA · Senior · full-time
Sponsorship not specifiedDetected 64 days ago
PythonMachine LearningTensorFlowPyTorchNLPLLMsCybersecurityDetection EngineeringResearchCommunication
About the role
- 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.
- Expertise in LLMs, Transformers, and Frameworks: Utilize large language models and transformers to analyze and predict cybersecurity threats.
Responsibilities
- Implement effective data preprocessing and feature engineering strategies specific to cyber threat detection.
- 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.
- Develop AI-based solutions for the detection and prevention of ransomware and other advanced cyber threats.
Requirements
- Prefer candidates with experience in cybersecurity and AI, with the ability to turn research into practical solutions.
- 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.
Skills
- 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.
Benefits
- End 2 End Machine Learning Pipeline Development: Design and manage end-to-end machine learning pipelines tailored for cybersecurity applications.
- 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.
- Qualifications 5+ years of experience in machine learning and cybersecurity.
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