MLOps Engineer

We are looking for a motivated Senior Machine Learning (MLOps) Engineer to work on challenging problems in a variety of domains – including enterprise IT, health, defense, intelligence, and energy – to get results that apply and go beyond the state of the art for measurably better outcomes.RequirementsProvision, operate, and maintain the CI/CD pipelines and infrastructure for the development and deployment AI AgentsDesign, implement, and maintain tools that enable agent deployments using MLOps best practices in scalable cloud infrastructureDevelop and document processes that enable secure automated development and deployment of AI agentsDesign, build, train, and evaluate Machine Learning modelsBuild repeatable Machine Learning pipelines for model training, evaluation, deployment, and monitoringPerform R&D to enable AI Observability and performance metricsDesign, implement, and manage cloud resources for MLOps infrastructureOperationalize production AI/ML systems by implementing model serving, monitoring, data and model drift detection, logging, and lifecycle management to ensure reliability, scalability, and maintainability.Work in a team of AI/ML researchers and engineers using Agile development processesBenefitsPaid time off401k matchingRetirement planTuition reimbursementOriginally posted on Himalayas