The role involves designing and deploying end-to-end machine learning solutions to address various business challenges. Responsibilities include utilizing large language models to facilitate user interaction with internal systems and performing tasks such as image classification and text data extraction. The individual will maintain and optimize existing models to enhance performance and business impact. Collaboration with cross-functional teams is required to translate ideas into scalable solutions. Additionally, the role entails documenting development workflows and communicating technical concepts to non-technical stakeholders.

Candidates must possess proficiency in Python and its associated data science ecosystem, along with at least one to two years of hands-on experience in data science. Required expertise includes natural language processing, content generation, and computer vision, as well as the ability to use large language models for image classification and tool use. Strong coding practices, version control skills using Git, and a solid understanding of SQL are necessary. The role also requires excellent English communication skills and the ability to collaborate effectively with stakeholders.