Job Description
Varonis is seeking a highly skilled Data Scientist to develop and optimize ML and LLM abilities. Responsibilities include analyzing large datasets for security threats, collaborating with cybersecurity researchers, designing innovative prompts for language models, optimizing prompts for quality and relevance, measuring the impact of prompt engineering, staying current with NLP advancements, and integrating ML/LLM techniques into production systems. The ideal candidate will have a PhD (or equivalent knowledge) in a relevant field, experience with NLP, machine learning, deep learning, prompt engineering, vector databases, OpenAI and HuggingFace models, and strong analytical and communication skills.
Good To Have:
- PySpark and Databricks experience
- Experience with vector databases and embedding techniques
- Experience with OpenAI and HuggingFace models
- LLM fine-tuning experience
Must Have:
- PhD or equivalent in relevant field
- NLP experience
- Machine learning & deep learning expertise
- Prompt engineering experience
- Python proficiency
- Strong analytical & communication skills
Description
Title: Data Scientist
We are seeking a highly skilled and motivated Data Scientist to join our talented team. As a Data scientist, you will be crucial in developing and optimizing our ML and LLM abilities.
You will work closely with our architects, data engineers, data scientists, and security researchers to design, train, and evaluate our machine learning models and state-of-the-art LLM-based features.
Responsibilities:
- Analyze large, complex datasets to identify patterns and trends that could indicate potential security threats.
- Collaborate with a cybersecurity research team to understand emerging threats and develop solutions that leverage advanced data analytics.
- Design and develop innovative prompts and instruction sets to enhance the conversational capabilities of our language models.
- Optimize prompts to generate high-quality, coherent, and contextually relevant responses.
- Conduct thorough analysis and experimentation to measure the impact of different prompt engineering techniques on model performance and accuracy.
- Stay up to date with the latest advancements in natural language processing and prompt engineering methods.
- Collaborate with software and data engineers to integrate ML/LLM techniques into production systems.
Requirements:
- PhD degree in math, computer science, or a related field. Or MSc kevel knowledge, you are an auto-didact.
- Experience with NLP, open-source and commercial NER, NER training, and fine-tuning.
- Experience with machine learning, and deep learning principles.
- Proficiency in Python - PySpark and Databricks is a plus.
- Experience with prompt engineering techniques.
- Experience with vector databases and embedding techniques.
- Experience with OpenAI and HuggingFace models.
- Experience with fine-tuning of LLMs is a plus.
- Strong analytical and problem-solving skills, with the ability to evaluate and interpret complex data.
- Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.
- Proven track record of delivering high-quality results in a fast-paced and dynamic environment.
- Strong attention to detail and a passion for creating exceptional user experiences.
We invite you to check out our Instagram Page to gain further insight into the Varonis culture!
@VaronisLife
Varonis is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.
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