Machine Learning Engineer
Tasks
- Automate dataset build training evaluation and deployment
- Build and maintain ML deployment infrastructure
- Collaborate to integrate ML services into user facing applications
- Deploy and support real time and batch ML models
- Design and implement CI CD pipelines for ML model deployment
- Develop Python APIs to serve ML models
- Manage model registry and model monitoring
- Monitor and maintain cloud-based ML services
- Own data flow into the data science lifecycle
- Review pull requests and improve engineering practices
- Write unit tests and maintain code quality
Perks/Benefits
Skills/Tech-stack
API Monitoring | AWS | Azure | CD | CI | CI/CD | Cloud platform | Container Orchestration | Docker | FastAPI | Flask | Git | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Logging | Machine Learning | Model Monitoring | Object-Oriented | Object-oriented programming | Python | TDD | Terraform | Unit Testing | “as-code”
Education
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