AI Engineer (Maternity Leave Replacement)

Radware is a global leader of cyber security and application delivery solutions for physical, cloud, and software defined data centers.

At Radware, we live and breathe cybersecurity. It is our passion. Each day, our international team works to earn the trust of more than 12,500 organizations around the globe. Keeping them safe is our mission. To that end, we go head-to-head with politically motivated hacktivists, dangerous nation-state threat actors and other notorious cyber attackers — these are not your average adversaries. Backed by nearly 30 years of experience, Radware is best known for its technical excellence and innovative network and application security solutions. That is why it is so important that we build our team with bold and bright talent.

About the job:

The Data Science Group at Radware CTO Office is at the forefront of developing innovative Machine Learning and AI capabilities for Radware cybersecurity products. Our mission is to research, design, and develop AI modules that enhance the detection and mitigation of cyber-attacks.

We are seeking an AI Engineer with expertise in Generative AI to temporarily join our team as a maternity leave replacement (9-10 months). This role offers the potential for a permanent position depending on performance and team needs.

Key Responsibilities:

• Develop and optimize a Generative AI-based module to automate tasks performed by Security Analysts.
• Engage in the full ML/AI development lifecycle, from conceptualization to deploying production-ready solutions.
• Collaborate closely with cross-functional teams to incorporate developed AI capabilities into our cybersecurity products.
  
  

• Minimum of 1 year of experience in Machine Learning and AI.
• Proven experience in Generative AI and familiarity with related environments.
• Proficiency in Python programming.
• Prior experience in the cybersecurity domain, particularly in web or cloud security, is preferred.
• Bachelor’s degree in computer science, Information Systems, Statistics, or a related field; a master's degree is advantageous.
• Ability to work independently as well as collaboratively within a team.
  
  

• Gain or enhance experience with Machine Learning and Generative AI in the cybersecurity domain.
• Work on engaging and challenging projects alongside distinguished researchers and data scientists.
• Opportunity for a transition to a permanent position based on performance and team needs.