Cybersecurity AI/ML Model Designer
2 days ago
Job Overview:
TAC Security is seeking an experienced Cybersecurity AI/ML Model Designer to join our security team. This role involves designing, developing, and deploying AI/ML models for threat detection, anomaly detection, and incident response automation within the security domain.
About the Role:
- Design and develop cutting-edge AI/ML models to enhance cybersecurity capabilities.
- Analyze large volumes of security data to extract actionable insights and identify patterns related to vulnerabilities and threats.
- Collaborate with cross-functional teams to understand requirements and translate them into effective AI/ML solutions.
- Continuously monitor and refine existing models to adapt to new security challenges and improve accuracy.
- Conduct experiments and evaluations to assess model performance and effectiveness in real-world scenarios.
- Document methodologies, processes, and findings to facilitate knowledge sharing and reproducibility within the team.
- Stay current with industry trends, emerging technologies, and best practices in AI/ML and cybersecurity.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- Proven experience in developing and implementing machine learning models, particularly in a security context.
- Proficiency in programming languages such as Python or R, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Understanding of cybersecurity principles, threat landscapes, and incident response protocols.
- Experience with data analysis and preprocessing techniques.
- Strong analytical and problem-solving skills, with the ability to work collaboratively in a team environment.
Estimated Salary: $160,000 per year
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