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דרושים Data Scientist, AI Security בתל אביב

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Data Scientist, AI Security

 

06/11/2025

 תל אביב

 Check Point Software

Why Join Us?

Join the forward-thinking CloudGuard AI Security team, where you’ll collaborate with leading architects and engineers to design, build, and secure next-generation AI-enabled public cloud environments.

As a Data Scientist, you will not only build and refine machine learning models and analyze large-scale datasets but also take an active part in the coding effort and in developing production-grade components that power CloudGuard’s AI Security products.

Key Responsibilities

  • Develop AI Security Insights – Leverage advanced statistical and machine learning techniques to detect threats, anomalies, or vulnerabilities in AI-driven cloud environments.
  • Build, Code & Optimize ML Solutions – Design, implement, and optimize ML and LLM-based models using clean, maintainable, and efficient code; integrate them into CloudGuard’s product pipelines to ensure scalability and reliability.
  • End-to-End Product Development – Collaborate with backend and DevOps engineers to deploy, monitor, and scale ML components within microservices and cloud infrastructure.
  • Data Exploration & Feature Engineering – Conduct deep dives into complex datasets from various sources, transforming raw data into actionable features for robust model development.
  • Continuous Learning & Adapting – Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors; adapt existing models and pipelines accordingly.
  • Cross-Functional Collaboration – Work closely with other data scientists, product architects, software engineers, and security experts to translate business needs into production-ready, data-driven solutions.

Qualifications

  • B.Sc/M.Sc. or higher in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Data Science & Machine Learning: Proven track record of building, testing, and deploying ML models (1-2 years recommended) using frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Programming Skills: Strong proficiency in Python (required) and familiarity with Go or other backend languages (advantageous). Ability to write production-level code, collaborate through Git, and work with CI/CD workflows.
  • Cloud Experience: Familiarity with AWS services (e.g., S3, Lambda, SageMaker, EKS/Kubernetes) for data storage, processing, and model deployment pipelines.
  • Analytical Mindset: Strong statistical background and the ability to derive insights from complex, large-scale datasets.

Advantages

  • LLM Expertise: Hands-on experience with large language models, vector databases, or related NLP frameworks.
  • Security Knowledge: Understanding of cybersecurity concepts, threat detection, and best practices for secure ML pipelines.
  • Go/Python Development Experience: Experience contributing to production systems and collaborating closely with engineers.
  • Passion for AI Security: Eagerness to explore and tackle evolving challenges at the intersection of AI and cybersecurity.

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