Senior ML Ops Engineer to help shape and expand data pipelines for enterprise security products, working across teams to design, maintain, and improve high-performance data pipelines.
Requirements
- Maintain, extend, and improve existing data/ML workflows
- Provide interfaces and systems for ML engineers and researchers to build datasets on demand
- Influence data storage and processing strategies
- Collaborate with ML team and frontend and backend teams to build out data platform
- Reduce time-to-deployment for dashboards and ML models
- Establish best practices and develop pipelines and software for efficient dataset building and use
Benefits
- Fully remote position with flexible working hours
- An inspiring team of colleagues spread all over the world
- Pleasant, modern development and deployment workflows
- High impact with lots of users, happy customers, high growth, and cutting-edge R&D
- Flat organization with direct interaction with customer teams