Summary

Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations more strict, organizations struggle to answer one key question: “Is my data safe?“

At Varonis, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. We’ve built the industry’s first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.

At Varonis, we move fast. We’re an ultra-collaborative company with brilliant people who care deeply about the details. Together, we’re solving interesting and complex puzzles to keep the world’s data safe.

We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.



We are looking for an experienced engineer with hands-on experience in Prompt Engineering and a background in Data Science to join our team.

Your role will be crucial in leveraging LLMs and Machine Learning Models to significantly enhance our data-centric threat detection capabilities, making a real difference in our product.

Responsibilities

• Write, test, refine, and optimize prompts and LLM models.
• Implement and integrate LLMs and machine learning models within our services and product suite.
• Develop our LLM-Ops framework to manage LLMs lifecycle.
• Write high-performance code on top of Databricks and PySpark.
• Evaluate and implement machine learning algorithms and Auto-MLs solutions on top of Databricks
  
  

• Bachelor’s degree in computer science or related field
• Strong proficiency in Python programming, with the ability to write efficient, maintainable, and scalable code.
• At least 3 years of experience in Data Science roles
• Deep interest and foundational knowledge in Large Language Models (LLMs) and Prompt Engineering
• Hands-on experience with developing LLM-based products, Vector DB, RAG, LangChain and similar frameworks and libraries.
• Proven track record with NLP techniques including text classification, intent detection, and keyword/topic extraction.
• Experience working with cloud-based environments (Azure/ AWS/ GCP)
• Excellent analytical skills
• Excellent written communication and problem-solving skills
  
  

• Experience working in PySpark and Databricks
• Working on data-driven products on a high scale
• Prior experience in the cybersecurity industry