Remote MLOps Engineer: Build & Scale ML Pipelines
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Summary
Fully remote MLOps Engineer building and automating ML model lifecycles — deploying, monitoring, and maintaining ML systems across cloud platforms. Works with data scientists and software engineers to operationalize models and optimize cloud infrastructure for scalable, secure, cost-efficient deployments.
Placements24 is seeking an experienced MLOps Engineer to join a fully remote team. You will build and automate ML model lifecycles, deploy, monitor, and maintain ML systems across cloud platforms.
The role emphasizes collaboration with data scientists and software engineers to operationalize models and optimize cloud infrastructure for scalable, secure, and cost-efficient deployments.