Machine Learning Engineer

A Machine Learning Engineer at Grass is responsible for developing, fine-tuning, and deploying large language models (LLMs) for various natural language processing (NLP) tasks, such as text generation and sentiment analysis. The role involves designing and implementing data pipelines to process large datasets, collaborating with cross-functional teams to understand data needs, and ensuring data quality throughout all processes. With a focus on innovative solutions, the engineer will also utilize Optical Character Recognition (OCR) technology and contribute to enhancing internal data processing tools and infrastructure.