Senior Software Consultant - MLOps - Morning Shift
Tasks
- Build machine learning training pipelines
- Debug ML systems
- Deploy machine learning models to production
- Design machine learning training pipelines
- Develop data preprocessing workflows
- Develop feature engineering workflows
- Implement model logging
- Implement model monitoring
- Integrate machine learning models with production systems
- Maintain machine learning training pipelines
- Manage CI/CD pipelines
- Operationalize machine learning models
- Optimize CI/CD pipelines for ML workflows
- Optimize ML infrastructure
- Orchestrate ML workflows
- Track model performance
- Troubleshoot ML systems
- Use Docker for deployments
- Use Kubernetes for orchestration
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Azure | CI/CD | Cloud Computing | Cloud platform | Data Preprocessing | Docker | Feature Engineering | Google Cloud | Google Cloud Platform | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Logging | Model Monitoring | Performance optimization | Python | Web Services
Education
N/A
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