Software Engineer, Machine Learning Infrastructure
Tasks
- Build APIs and microservices
- Deploy machine learning models to production
- Design and maintain data pipelines
- Develop training frameworks for audio models
- Evaluate and integrate MLOps technologies
- Implement monitoring, logging, and alerting
- Manage cloud resources and GPU utilization
- Set up model serving and performance monitoring
- Support data labeling and data preparation
- Translate research prototypes into production pipelines
Perks/Benefits
Skills/Tech-stack
API Development | AWS | Airflow | Alerting | CI/CD | Docker | FFmpeg | GPU Utilization | Kafka | Kubernetes | Logging | MLOps | Machine Learning | Microservices | Model Serving | Monitoring | Next.js | Node.js | PostgreSQL | Python | Spark | System design | Trpc | TypeScript | WebRTC
Education
N/A
Regions
Countries
States
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