Couchbase - Santa Clara, CA
posted 3 months ago
As a Machine Learning (Ops) Engineer at Couchbase, you will play a pivotal role in developing and maintaining the infrastructure necessary for the efficient deployment, monitoring, and management of machine learning models. This position is essential in bridging the gap between data science and engineering, ensuring that our AI solutions are not only scalable and reliable but also seamlessly integrated into our products. You will be part of a world-class engineering team that is dedicated to innovating within the database industry, particularly in the realm of AI and cloud technologies. Your work will directly contribute to the creation of a 21st-century database that leverages the power of Cloud and AI, enabling modern GenAI applications. If you thrive in a fast-paced environment and are passionate about optimizing and automating machine learning workflows, this role is designed for you. The position is based in our Santa Clara, CA headquarters, with an expectation for you to be in the office 2-3 days a week. We do not offer relocation assistance, so local candidates are preferred. You will be responsible for automating and streamlining the deployment of machine learning models to production, ensuring they are scalable, secure, and efficient. Additionally, you will build and maintain robust CI/CD pipelines for machine learning systems, implement monitoring tools to track model performance, and collaborate closely with data scientists and engineers to integrate machine learning models into Couchbase's products. Your role will also involve managing the ML development and production environments, advocating for best practices in MLOps, and identifying tools to enhance the machine learning lifecycle.