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Location:
CORK, Ireland
Job Category:
Information Technology
EU work permit required:
Yes
Job Reference:
5084368_1737020702
Job Views:
9
Posted:
16.01.2025
Expiry Date:
02.03.2025
Job Description:
I am intrigued at the emergence of such a role requirement which has been presented to Berkley Group today by a Global Organisation here in Cork!
The successful candidate will be able to work Remotely (within Ireland) circa 80% of the time.
This opportunity is very much at the intersection of Machine Learning & Cyber Security. This role involves developing and optimizing machine learning models to both detect and prevent Cyber threats.
My client is clearly being proactive about Cyber Threats and has put some real thought into this role specification! They feel that Machine Learning models are going to prove vital in the ongoing battle to protect their organisation & its Security posture against 'Threat Actors'.
Therefore, they are keen to speak with individuals who can develop & implement machine learning models to identify & respond to Cybersecurity threats.
This client has always prioritised the management of their Threat landscape and due to various acquisitions over this past while, their 'Attack-surface' has broadened, resulting in a clear need for Talented 'Machine-learning' Engineers who understand Cyber and the importance of Threat Management to join their growing AI/ML Engineering team!
The role comes with an excellent Base Salary, % Bonus, and full Benefits from the 'get-go'.
If you've got a strong background in 'Machine learning' & a passion for applying these skills to enhance cybersecurity measures, then let's chat!
Key Responsibilities:
1. Develop and implement machine learning models to identify and respond to cybersecurity threats.
2. Collaborate with cybersecurity SMEs, security analysts, and engineers to identify and address complex cybersecurity challenges.
3. Optimize machine learning models for performance and scalability.
4. Collaborate with Cybersecurity Engineers and Analysts to integrate machine learning models into cybersecurity platforms.
5. Conduct experiments and evaluate model performance using appropriate metrics.
6. Assist in the creation of technical documentation and reports.
7. Stay informed about the latest trends and advancements in machine learning and cybersecurity.
8. Support the Principal Machine Learning Engineer in research and development activities.
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