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snowflake python databricks machine learning data pipelines๐ Description
- Build data products: dashboards, metrics, and recommendations.
- Own production ML deployment with monitoring, versioning, and reliability.
- Build data pipelines from TASER telemetry to analytics surfaces.
- Set technical direction for the team's engineering practices.
- Work across the full stack: ingestion to analytics.
- Incorporate AI tools as core in your development workflow.
๐ฏ Requirements
- Write high-quality production code; strongly typed, tested; Python-like.
- Deploy and operate ML systems in production: serving, monitoring, and reliability.
- Define key roadmaps; influence peers and direction.
- Define problems as you solve them; adapt to evolving requirements.
- Work with real-world messy data: device logs, event streams.
๐ Benefits
- Competitive salary and 401k with employer match.
- Discretionary paid time off.
- Paid parental leave for all.
- Medical, Dental, Vision plans.
- Fitness Programs.
- Emotional & Mental Wellness support.
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