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Lead I - ML Engineering
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Role description
Job Description:
We are seeking a skilled AI Automation Engineer
with expertise in security to join our team. The ideal candidate will be
responsible for designing, developing, and implementing automation systems that
enhance efficiency and streamline security processes. This role requires a
proactive individual who can identify and resolve issues within security
automation systems to ensure smooth and continuous operations.
Key Responsibilities:
- Security Automation System
Development:
- Design and develop robust
automation systems specifically for security processes to optimize threat
detection and improve operational efficiency. - Implement automation
solutions across various security platforms, ensuring compatibility and
scalability.
- Issue Identification and
Resolution:
- Proactively identify,
analyze, and resolve issues within security automation systems. - Conduct regular evaluations
of security automation systems to ensure optimal performance and
reliability.
- Cross-Functional
Collaboration:
- Collaborate with
cross-functional teams to ensure security automation systems align with
organizational goals and objectives. - Work closely with security
and software development teams to integrate automation solutions with
existing security systems and platforms.
- SDK Integration:
- Focus on seamless
integration of security automation systems in line with a predetermined
Software Development Kit (SDK). - Ensure that all security
automation solutions are compatible with the SDK and meet the required
standards.
- Continuous Improvement:
- Stay updated with the
latest trends and advancements in AI, automation, and security
technologies. - Recommend and implement
improvements to existing security automation processes to enhance
efficiency and effectiveness.
Qualifications:
- Bachelor s degree in
Computer Science, Engineering, or a related field. - Proven experience in
developing and implementing automation systems within security
environments. - Strong problem-solving
skills and the ability to troubleshoot complex security-related issues. - Experience working with
cross-functional teams and integrating systems in security settings. - Familiarity with security
SDKs and their application in automation processes. - Excellent communication and
collaboration skills.
Preferred Skills:
- Experience with AI
technologies and machine learning in security environments. - Knowledge of programming
languages such as Python, Java, or C++. - Understanding of major
security platforms and tools such as SIEM, IDS/IPS, or endpoint protection
solutions.
Skills
python,ai automation,security automation,security platforms,machine learning,
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