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.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו
מלאה
25,000-35,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

We are looking for Senior Data Scientists who are excited about building real-world AI systems in production, not just experimenting with models, but using cutting edge tools and solutions for advanced evaluation of conversation threads, individual exchanges, agents, skills and tools in order to optimize the full product flow and directly impact customer experience.
Key Responsibilities
Design, develop, and maintain Evaluation pipelines for AI-powered applications, agents, and backend systems
Build intelligent workflows and agentic systems integrated into our company 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 our company products.

Requirements:
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 LangChain, LangGraph, 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.

This position is open to all candidates.