Backend Engineer, Applied Machine Learning Engine (Efficiency Tool)
Tasks
- Analyze user needs and develop software solutions
- Build and evolve console platform for AI engineering workflows
- Build infrastructure for efficient reliable AI development
- Create automated systems and pipelines
- Design platform architecture and improve engineering productivity
- Develop scalable and available machine learning services
- Develop time series and data analytics components
- Integrate AI into engineering and operations workflows
- Troubleshoot and tune storage and middleware performance
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Beego | C++ | CPU GPU | CPU GPU Resource Management | Celery | ClickHouse | Django | Flask | GORM | GPU resource management | GRPC-Go | Gin | Go | InfluxDB | MQ | MySQL | NVIDIA GPU | NumPy | OLAP | OpenTSDB | Prometheus | Python | Redis | Resource Management | Sarama | Time Series | Tornado
Education
N/A
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