Data Scientist - AI Evaluation Team

Responsibilities

• Design, develop, and maintain Evaluation pipelines for AI-powered applications, agents, and backend systems
• Build intelligent workflows and agentic systems integrated into Check Point networking and security products
• Develop and maintain scalable evaluation infrastructure, services, and tooling supporting GenAI applications in production
• Improve LLMs, RAG pipelines, vector databases, and orchestration frameworks integrated into robust production systems
• Collaborate closely with AI researchers, software engineers, infrastructure teams, and product groups to deliver end-to-end AI solutions
• Improve scalability, reliability, observability, and operational excellence of AI systems
• Explore and adopt modern AI engineering methodologies, frameworks, and tooling
• Participate in architectural and technical decisions shaping the future of AI across Check Point products

• 5+ years of experience as a Data Scientist
• 1–2 years of hands‑on experience building GenAI or LLM‑based applications
• Strong proficiency in Python and data science and ML engineering best practices
• Experience building and evaluating scalable distributed AI systems and cloud‑native applications
• Hands‑on experience with GenAI technologies such as Lang Chain, Lang Graph, MCP, RAG systems, vector databases, and agent frameworks
• Experience integrating LLMs and AI services into production environments
• Experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS, Azure, or GCP—strong advantage
• Strong understanding of APIs, software architecture, and system design
• Familiarity with networking and cybersecurity domains—strong advantage
• Strong ownership, curiosity, and ability to work in fast‑moving environments
• MSc in Computer Science or related field—advantage