Senior Machine Learning Engineer - Platform
Tasks
- Architect unified perception layer
- Build monitoring for model drift and regressions
- Build targeted test sets for rare events
- Design real time ML systems
- Develop safety evaluation frameworks
- Ensure explainability in production models
- Mentor engineers and set engineering standards
- Orchestrate hybrid deployment edge and cloud
- Own end to end latency and reliability
Perks/Benefits
- Comprehensive health benefits
- Parental leave
- Professional development stipend
- Remote work flexibility
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud ML | Computer Vision | Containerization | Distributed Systems | Docker | Edge Computing | GCP | Infrastructure as Code | Kubernetes | Machine Learning | Monitoring | Observability | Performance Profiling | “as-code”
Education
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