Data Scientist

Description

• 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.

• 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.