Data & ML Infrastructure Architect
Skills
- Software engineering
- ML systems architecture
- Distributed storage
- High-volume data pipelines
- Linux systems
- Python and C++
- Hybrid computing environments
Responsibilities
- Own the architecture of ML data infrastructure
- Design and evolve infrastructure to support petabyte-scale workflows
- Architect high-throughput systems for distributed training
- Establish robust data governance and retention strategies
- Collaborate with cross-functional teams for integration
- Lead technical strategy and roadmap development
- Mentor engineers across teams towards engineering excellence
Education
- Bachelor's degree in Computer Science or related field
- Master’s degree preferred
Benefits
- Medical and dental insurance
- 401k with company match
- Health savings accounts
- Life insurance
- Pet insurance
Average salary estimate
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