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Gremlin is seeking a Data Scientist specializing in AI and machine learning to enhance the reliability of internet systems. In this role, you will analyze a vast dataset of chaos engineering experiments to uncover failure patterns and resilience signals within complex distributed systems. Your responsibilities will include pretraining and fine-tuning machine learning models to automatically identify and explain failures, as well as developing intelligent systems that provide automated remediation recommendations based on historical data. You will also be tasked with creating scalable data pipelines and feature stores to manage and process data effectively. The position requires applied machine learning experience and a strong analytical mindset to tackle intricate technical challenges that affect a diverse range of clients, from Fortune 500 companies to smaller organizations. This remote position is ideal for individuals who thrive in a collaborative environment and are passionate about improving system reliability. The role emphasizes quality and user experience, making it suitable for those who enjoy working closely with a talented engineering team.
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