CoreWeave is seeking an experienced MLOps Engineer to own the end-to-end ML lifecycle—experimentation, training, packaging, deployment, serving, and retirement. You will define MLOps practices, establish SLOs/SLAs, and build automated CI/CD and continuous training pipelines for production readiness.
You will implement observability, data/versioning, and drift monitoring while ensuring robust security and governance.
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MLOps Engineer: Production ML Pipelines & Observability employer: CoreWeave
CoreWeave is an exceptional employer that thrives on innovation and collaboration, making it an ideal place for the Senior Community Affairs & Partnerships Manager to make a meaningful impact. With a strong emphasis on employee growth, a dynamic work culture, and comprehensive benefits including flexible PTO and tuition reimbursement, CoreWeave fosters an environment where creativity and independent thinking are encouraged. Located in a fast-paced industry, employees are surrounded by top talent and have the opportunity to contribute to groundbreaking advancements in AI technology while building trusted relationships within the community.
