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Data Scientist

1 month, 2 weeks ago
Israel
Mid Level
Data Scientist
Data Science and Analytics
AWS Azure Cybersecurity Deep Learning GCP Generative AI IPS LLM Machine Learning Microservices Network Security NLP PyTorch TensorFlow
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Cato Networks

Cato Networks

Cato Networks is the world's leading single vendor SASE platform that converges SD WAN, security, global backbone, and remote access into a global cloud-native service. Their robust platform optimizes and secures application access for all users and lo...

Diversified Telecommunication Services
251-1K
Founded 2015
$770M raised
View All Jobs 51

Description

  • Lead the design, development, and deployment of AI/ML models that enhance Cato’s security and networking products.
  • Analyze large-scale network traffic and security data to identify patterns, threats, and opportunities for product improvement.
  • Research, fine-tune, and train models optimized for real-time inline inference under limited compute resources.
  • Collaborate with product, engineering, and support teams to translate product and business needs into AI solutions.
  • Define and track success metrics to ensure AI solutions meet performance and business goals.
  • Apply advanced analytics, machine learning, deep learning, and GenAI techniques to solve cybersecurity and networking challenges.
  • Support the development and deployment of AI capabilities across core products such as the AI assistant, DLP, XDR, and IPS.

Requirements

  • Minimum 3 years of professional experience in Data Science roles.
  • Hands-on experience in networking and/or cybersecurity domains.
  • Proven experience building and deploying LLM-based applications and agents, including RAG pipelines, tool-use agents, and prompt engineering at scale.
  • Strong foundation in classical machine learning methods, including supervised learning, unsupervised learning, and clustering.
  • Practical experience with deep learning frameworks such as TensorFlow or PyTorch, including NLP techniques.
  • Proven experience deploying models on cloud platforms such as AWS, Azure, or Google Cloud.
  • Excellent analytical, problem-solving, and communication skills.
  • Self-motivated, collaborative, and able to work independently.
  • Experience with real-time or low-latency AI inference in production environments (preferred).
  • Advanced degree such as an MSc or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field (preferred).

Interested in this position?

Apply directly on the company website

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