Data Scientist & AI Prompt Engineer

Description

• Write, test, refine, and optimize prompts and LLM 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. 
• Implement and integrate LLMs and machine learning models within our services and product suite. 
• Define and 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 Engineering and Data Science roles 
• Experience working with cloud-based environments (Azure/ AWS/ GCP) 
• Solid understanding of natural language processing, machine learning, and deep learning principles. 
• Proficiency in Python and experience with popular deep learning frameworks such as TensorFlow or PyTorch. 
• 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. 
• 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