Senior MLOps Engineer: Scalable Real-Time ML Pipelines

Hard Rock International; Town of Florida, Northern (NY, KY); Hybrid; USD 130,000 - 195,000; Full time

Job summary

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.

Qualifications

• Strong experience with Databricks (Workflows, MLflow, Delta Lake).
• Deep expertise in Apache Spark (batch and streaming).
• Advanced Python skills (production-quality code).
• Hands-on experience with streaming / real-time systems.
• Proven experience designing and implementing CI/CD pipelines.
• Strong understanding of the ML lifecycle (training → deployment → monitoring → retraining).
• Experience building scalable, distributed data and ML pipelines.

Responsibilities

• Design, build, and maintain production-grade ML pipelines on Databricks.
• Operationalize ML models, including deployment, monitoring, and lifecycle management.
• Build and maintain CI/CD pipelines for ML workflows.
• Develop and manage real-time and streaming data pipelines.
• Collaborate closely with Data Scientists to productionize models efficiently.
• Implement model versioning, experiment tracking, and reproducibility.
• Define and enforce ML best practices, governance, and quality standards.
• Monitor model performance and data drift; implement automated retraining strategies.
• Optimize performance, scalability, and cost of distributed workloads.
• Contribute to platform design for low-latency inference and scalable serving.

Skills

Databricks

Apache Spark

Python

Streaming systems

CI/CD pipelines

ML lifecycle

Model versioning

Tools

Snowflake

Kubernetes

Docker

Terraform

Databricks Feature Store

Kafka

Job description

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.