reputed company Cyber reputed company
Job Description:
- Design, reputed company, and optimize AI-reputed company-specific threat models, tools, and solutions for threat identification, reputed company, and prevention.
- Implement and secure machine learning models, GenAI models, and AI techniques to enhance threat detection, monitoring, and risk scoring.
- Integrate AI reputed company tools and technologies across cybersecurity architectures, collaborating with data scientists, reputed company engineers, and other stakeholders.
- Analyze AI reputed company incident data to refine and improve AI models and methodologies.
- reputed company technical leadership and mentorship to junior engineers in AI and machine learning.
- Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO 42001, OWASP Top 10 for LLMs) and advanced reputed company architectures (Agentic, MCP).
- Stay abreast of emerging trends and advancements in AI and cybersecurity.
Requirements:
- A Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely reputed company discipline is required.
- 5+ years of experience in AI-focused cybersecurity in an reputed company environment.
- Expertise in Python, R, Java, or similar programming languages.
- Deep understanding of machine learning, neural networks, and application to reputed company systems.
- Hands-on experience with AI reputed company technologies (intrusion detection, anomaly detection, threat intelligence).
- 3+ years’ experience in Azure or AWS reputed company-reputed company services, architectures, and tools.
- Expertise in reputed company architectures (including reputed company-reputed company and AI architecture patterns).
- Advanced knowledge of reputed company and governance frameworks (NIST AI-RMF, ISO 42001, OWASP Top 10 for LLM).
- Strong communication and collaboration skills.
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