Hard Rock International in the United States seeks a highly skilled MLOps Engineer to support end-to-end ML lifecycle, from experimentation to production deployment, building scalable, reliable ML infrastructure for data science teams.
You will design and maintain ML pipelines on Databricks, operationalize models, manage real-time data streams, and collaborate with data scientists to ensure reproducibility and cost-efficient, low-latency serving.
#J-18808-LjbffrSenior MLOps Engineer: Scalable Real-Time ML Pipelines in northern at Unknown Company
This position is listed as full time and onsite.