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Cyber Managed Service -Staff – AI and Innovation Engineer

The AI and Innovation Engineer will be responsible for analyzing and interpreting complex data related to cyber threats, security incidents, and overall network health. The individual will work closely with the Threat Detection and Response team to identify patterns, trends, and anomalies in data

KEY responsibilities:

Monitor and analyze data from various cybersecurity tools and platforms, including SIEM (Security Information and Event Management), IDS/IPS (Intrusion Detection/Prevention Systems), EDR, XDR, firewalls.
Work collaboratively with other team members to find creative and practical solutions to customers’ challenges and needs
Develop and refine analytics to detect advanced threats and vulnerabilities within the client premises
Stay current with the latest cyber threats and security trends to update analytics and detection mechanisms
Design and implement ML/AI models to identify, predict, and prevent cyber threats and anomalies
Monitor and analyze data from various cybersecurity tools and platforms, enhancing them with ML/AI capabilities
Collaborate with the Client Platform team to build ML/AI Models
Develop and refine algorithms for real-time analysis of large datasets to detect sophisticated cyber-attacks
Assist in deploying Ai/ML products/solutions to client premises
Should have worked in a security operations center and gained understanding of SIEM solutions like Splunk, Microsoft Sentinel and other log management platforms. Having experience in Splunk content development will be an added advantage
Willing to learn new technologies and take up new challenges.  Assist in developing high-quality technical content such as automation scripts/tools, reference architectures, and white papers.
Good grasp in conceptualizing and/or implementing automation for business process workflows
Should be able to assist, support and mitigate production issues.
Should have the capability to work with partners and client stack holders to full fill their asks

Qualification & experience:

Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or a related field
Minimum of 2 years of experience in cybersecurity, with a focus on analytics and threat detection
Strong understanding of network protocols, encryption, and cybersecurity principles.
Experience with SIEM tools, data analysis, and visualization platforms.
Knowledge of scripting languages (e.g., Python, PowerShell) for automation and data manipulation
Strong understanding of ML/AI methodologies, data modeling, and statistical analysis.
Experience with ML/AI platforms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Proficiency in scripting languages (e.g., Python, R) for ML/AI development and data manipulation
Familiarity with big data technologies and platforms (e.g., Hadoop, Spark).
Knowledge of cybersecurity principles, network protocols, encryption, and incident response

Preferred Skills:

Certifications such as CISSP, CEH, GCIH, or related.
Excellent analytical and problem-solving skills.
Certifications such as CEH, GCIH, or related, with additional certifications in data science or ML/AI.
Proven track record of developing and deploying ML/AI models in a cybersecurity environment.
Excellent analytical and problem-solving skills with a strong attention to detail.
Ability to communicate complex ML/AI concepts to non-technical stakeholders.
Ability to work independently and as part of a multidisciplinary team.
Strong oral, written and listening skills are an essential component to effective consulting.

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