MLOps Engineer
Dallas, Texas, United States
A USD 120K-160K (estimate) Mid-level Full Time
Tasks
- Collaborate to integrate ML models into production systems
- Design automated testing for ML models
- Develop MLOps pipelines for model deployment
- Implement CI CD for ML model lifecycle
- Monitor machine-learning models in production
- Optimize model deployment with containerization
- Troubleshoot model performance and data quality
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Docker | Git | GitHub | Google Cloud | Google Cloud Platform | Kubeflow | Kubeflow Pipelines | Kubernetes | MLflow | Machine Learning | Python | TensorFlow | TensorFlow Extended | TensorFlow Extended (TFX)
Education
Roles
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