Related skills
terraform aws snowflake sql python📋 Description
- Architect and build Built’s ML Ops platform for production
- Define reusable patterns for model training, deployment, monitoring
- Build CI/CD pipelines for ML lifecycle automation (versioning, experiments)
- Stand up a feature store with Snowflake and AWS for data
- Integrate ML workloads into event-driven architecture (Kafka, Kinesis)
🎯 Requirements
- Experience architecting and deploying ML systems in production
- Deep familiarity with ML lifecycle automation (training, CI/CD, monitoring)
- Strong AWS experience in ML pipelines (SageMaker preferred)
- Proficiency with IaC tools (Terraform)
- Strong Python and SQL skills
- Experience integrating ML workloads with data platforms and event systems
🎁 Benefits
- Travel to Nashville for company events (Connect Week)
- Competitive benefits: health, dental, vision, unlimited PTO
- 401k with match and vesting
- Equity in stock options and robust compensation
- Flexible hours, paid family leave, ERGs and mentorship
- Learning grant program for professional development
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