Perform exploratory Analysis to identify critical elements that improve efficiency. Experience building specific LLM applications and drive development of end-to-end usecase such as automated content generation. Demonstrated expertise with Prompt Engineering Familiarity with Machine Learning Frameworks Develop, fine-tune, LLMs (e.g., llama) for tasks such as text generation, summarization, translation. Customize pre-trained models to specific use cases and domains, ensuring high performance and relevance. Strong Problem-solving skills Continuous learner and familiar with state-of-the-art works Familiarity with version control tools such as git Model, Build and test AI software Proficiency in Python, Javascript and C++ to create faster more capable AI software Analyze statistics, data, and algorithms for projection accuracy Work with a team of machine-learning and data engineers to ensure seamless AI development and integration Stay current on AI knowledge, trends, and regulations Deep understanding of data science, linear algebra, algorithms, and statistics #LI-VV1