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 product attribute inference. The individual will maintain and optimize existing models to ensure high 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 complex technical concepts to non-technical stakeholders.

The role requires proficiency in Python and its associated data science ecosystem, including libraries such as NumPy, pandas, and TensorFlow. Candidates must possess at least 1-2 years of hands-on experience in data science, specifically within natural language processing, content generation, and computer vision. Strong coding practices, version control experience with Git, and a solid understanding of SQL are necessary. The position also demands excellent English communication skills and the ability to collaborate effectively with diverse stakeholders.