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Eclipse is seeking a Data Scientist to focus on data labeling and preparation for Large Language Models within a blockchain context. You will develop labeling strategies and optimize data formats to support model training and improve data quality across ML pipelines.
Collaborate with the engineering team to implement data infrastructure for ML, establish automated data quality checks, and contribute to scalable AI solutions that enhance blockchain applications such as Ethereum.
Eclipse is seeking a Data Scientist to focus on data labeling and preparation for Large Language Models within a blockchain context. This role is ideal for those experienced in data quality and ML pipelines.
In this role, you will develop data labeling strategies and optimize data formats for Large Language Models, ensuring high-quality datasets for training. Your work will directly impact the efficiency of data processing pipelines and the overall performance of AI applications in a fast-paced blockchain environment.
Collaboration with the engineering team is crucial, as you will guide the implementation of data infrastructure tailored for machine learning. Success in this position means establishing robust automated processes for data quality analysis and contributing to the scalability of Ethereum through innovative AI solutions.