Senior MLOps Engineer: Scalable Real-Time ML Pipelines
Posted today
hard rock internationalBrooklyn (NY)
Data ScientistsCustom Computer Programming Services
SENIORITY
Senior
About the role
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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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