Senior Software Engineer, Infrastructure (ML and Real-Time Speech)
Tasks
- Architect scalable fault-tolerant infrastructure
- Build microservices with Kubernetes and orchestration
- Deploy machine learning models into production
- Design backend services for real time speech recognition and speaker identification
- Improve observability, reliability, and performance
- Streamline developer experience CI CD and automated testing for ML services
Perks/Benefits
- N/A
Skills/Tech-stack
Automated testing | C++ | CI/CD | Databases | Distributed Systems | Feature Store | Kubernetes | MLOps | Machine Learning | Message Queues | Microservices | Model Deployment | NoSQL | Observability | Pub/Sub | Python | SQL | Streaming Data
Education
N/A
Regions
Countries
States
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