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Data Scientist

3 weeks, 4 days 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
Apply Now
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 53

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

Apply Now

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