MLOps / Data Engineer
Benefits
5w PTO
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About the Role:
- Bridge data science and production.
- Build scalable ML infrastructure.
Responsibilities:
- Manage MLOps CI/CD pipelines.
- Optimize Spark and Databricks workloads.
- Productionize ML models and monitor performance.
Requirements:
- Experience in Data Engineering or MLOps.
- Strong Python and Spark skills.
- Databricks and Kubernetes expertise.
Culture:
- Remote-first and collaborative.
- Inclusive with professional growth.
Partner Company
This company powers the global digital audio advertising ecosystem, turning large-scale listener data into actionable insights for advertisers. It operates in a technically advanced, cross-functional environment with a culture centered on respect, equity, and professional development.