Security + AI Engineer
- Source: Naukri
- Black And White Business Solutions
- Hybrid
- Bengaluru
- Full-Time
- Mid level
Job Description
About Client
Hiring for Black And White Business Solutions Pvt Ltd!
Job Title: Security + AI Engineer
Qualification: Any Graduate or Above
Relevant Experience: As per project requirement
Must Have Skills:
- Cybersecurity / Information Security
- Artificial Intelligence (AI) and Machine Learning (ML)
- Security Threat Detection and Analysis
- Vulnerability Assessment and Risk Management
- Security Monitoring and Incident Response
- Python and Security Automation
Good to Have Skills:
- Generative AI / Large Language Models (LLMs)
- AI Security and LLM Security
- SIEM Tools Splunk, Microsoft Sentinel or QRadar
- Cloud Security AWS or Azure
- Security Automation and AI-based Threat Detection
Roles and Responsibilities:
- Identify, analyze, and respond to cybersecurity threats and vulnerabilities.
- Implement AI-based solutions to improve threat detection and security monitoring.
- Monitor security alerts, investigate incidents, and support incident response activities.
- Develop automation scripts using Python to improve security operations.
- Evaluate AI systems for security risks and potential vulnerabilities.
- Support the implementation of security policies, standards, and best practices.
- Collaborate with cybersecurity, AI, and cloud teams to improve security solutions.
- Prepare security reports and technical documentation.
- Support continuous improvement of security processes and tools.
Location: PAN India
CTC Range: As per market standards
Notice Period: 0 to 30 Days
Shift Timing: Regular
Mode of Interview: Virtual
Mode of Work: Hybrid
Mode of Hire: Permanent
Note: Interested candidates are requested to share their updated resume along with current CTC, expected CTC, notice period.
Thanks & Regards,
Sunil Teggi
Black and White Business Solutions Pvt. Ltd.
Bangalore, Karnataka, India
Direct Number: 8067432496
mail:[email protected]
www.blackwhite.in
Skills
- Python
- splunk
- amazon-web-services
- microsoft-azure
- mode
