– Prepare accurate report based on current threat landscape and associated risks through the use of client, community, and open source reporting
– Produce actionable intelligence information
– Monitor real-time third-party security feeds, forums and mailing lists to gather information on vulnerabilities and exploits related to the clients
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– Explore new form of cyber-attacks through real time environment
– Observe first-hand the evolution of novel attacks and defences.
– Support the APAC SOC team to investigate incidents and provide after action recommendations
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Responsibilities
- Develop Deep Learning capabilities of Certis Cisco
- Security software and commercial security product testing and evaluation.
- Validate and test numerous IoT (Internet of Things) scenarios.
- Research on open source and run test on various scenarios.
- Develop Artificial Intelligence technology (For Deep Learning and Cognitive Computing)
- To conduct training and consultancy in work related aspects.
Requirements
- Degree in Computer Science/ Computer Engineering
- Willing to learn and work in a fast-paced environment
- Good communication skills
- Knowledge in programming languages (eg. Python, JS, etc)
- Knowledge in JS technology stack (node.JS)
- Strong Interest in the development of deep learning software and machine learning libraries, cyber security and IoT systems.
To apply, pls kindly submit your CV to info@talent-merge.com
Responsibilities
- To work on researching and developing new malware offensive capabilities for both cyber security attack and defence; focusing on AI Deep Learning exploitation.
- Be able to develop and supervise work, related to new non-signature malware detection techniques and countermeasures.
- To evaluate and test today’s popular anti-malware commercial systems such as IDS/IPS, malware sandbox, and Next Gen firewalls; extending their system validation to associated issues e.g. cloud security, digital rights management, SCADA security and IoT security.
- To conduct training and consultancy in advanced malware countermeasures such as APT.
Requirements
- Degree in Computer Science/ Computer Engineering
- Willing to learn and work in a fast-paced environment
- Good communication skills
- Strong interest in cyber security
- Preferably 1-2 years of working experience (Candidates with experience in Malware will be at an advantage)
To apply, pls kindly submit your CV to info@talent-merge.com
Responsibilities
- Researching and developing new malware offensive capabilities for both cyber security attack and defence; focusing on Deep Learning with Artificial Intelligence.
- Develop and supervise work related to new non-signature malware detection techniques and countermeasures.
- Evaluate and test popular anti-malware commercial systems
- Conduct training and provide consultancy in advanced malware countermeasures.
Requirements
- Degree/MSc in Computer Science/Computer Engineering or equivalent
- Fluent in relevant programming languages (eg. C/C++)
- Strong interest in Cyber Security Forensics.
- Preferably 1-2 years of working experience in Malware Analysis
- Team-player with good communication skills
- Willing to learn and work in a fast-paced environment
We regret that only short-listed candidates will be notified.
Clarence Khoh | R1552376 | 16C7858
Responsibilities
- Testing and evaluation of security software and commercial security product.
- Test and validate IoT (Internet of Things) scenarios.
- Research on Open Source platforms and run tests on various scenarios.
- Develop AI (Artificial Intelligence) technology and Cognitive Computing for in-house Deep Learning capabilities
- Conduct training and consultancy in work related aspects.
Requirements
- Degree/MSc in Computer Science/Computer Engineering or equivalent
- Experienced with background in relevant programming languages (eg. C++, Python, JS, etc)
- Knowledge in JS technology stack (node.JS)
- Strong Interest in the development of deep learning software and machine learning libraries, Cyber Security and IoT systems.
- Good communication skills
- Willing to learn and work in a fast-paced environment
We regret that only short-listed candidates will be notified.
Clarence Khoh | R1552376 | 16C7858
