עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
20,000-30,000 ₪
Join the forward-thinking CloudGuard AI Security team, where youll 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 CloudGuards 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 CloudGuards 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.
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 CloudGuards 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 CloudGuards 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.
Requirements:
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, scikit-learn, pandas and transformers libraries.
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.
Advantages:
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.
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.
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, scikit-learn, pandas and transformers libraries.
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.
Advantages:
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.
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.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
רחובות
תל אביב - יפו
בוקר
סבסוד
השמה
10 חודשים
