Principal Engineer (Machine Learning)
Tasks
- Architect machine learning models
- Build continuous integration delivery deployment automation
- Build machine learning pipelines
- Deploy real-time inference systems
- Design RESTful APIs
- Develop microservices
- Document machine learning model integration
- Document system architecture and APIs
- Ensure code quality, security, and data privacy
- Integrate machine learning into production systems
- Optimize machine learning models
- Troubleshoot backend infrastructure issues
- Troubleshoot machine learning model issues
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud platform | Continuous Delivery | Continuous Deployment | Continuous integration | Data Privacy | Google Cloud | Google Cloud Platform | Machine Learning | Microservices | PyTorch | Python | REST APIs | Security | TensorFlow
Education
Regions
Countries
States
Cities
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