MLOps Engineer

This role focuses on building scalable, reliable, and automated ML infrastructure to support the end-to-end machine learning lifecycle, from experimentation to production deployment. The position enables data science teams to deliver production-ready models efficiently by designing and maintaining production-grade ML pipelines and CI/CD workflows. The engineer will collaborate closely with cross-functional teams to operationalize models, implement monitoring strategies, and optimize distributed workloads for both batch and real-time use cases.