data scientist artificial insentience machine learning Responsibilities: Develop a comprehensive list of potential contradictions in Q&A pairs for post-processing. Prepare and clean text data for analysis and modelling. Conduct research to identify and evaluate the best Large Language Models (LLMs) for this purpose. Utilize Azure AI Studio to implement, test, and refine LLM models. Collaborate with senior engineers to troubleshoot and optimize response quality. Learning Goals: Gain hands-on experience with LLMs and understand common challenges like contradiction and hallucination. Develop skills in post-processing methods for data quality improvement in AI models. Enhance knowledge of Azure AI tools and workflows in a professional setting. Required Skills: Proficiency in Python. Familiarity with Azure AI Services. Knowledge of Machine Learning principles, especially LLMs. Basic understanding of Natural Language Processing (NLP) techniques. This is an excellent opportunity to build your AI engineering skills, tackle real-world LLM challenges, and contribute to an innovative project that leverages the latest advancements in AI.