MLOps Engineer
Tasks
- Automate model validation in production
- Collaborate with data scientists and developers
- Design MLOps pipelines for model deployment
- Document MLOps processes and workflows
- Evaluate and compare model performance
- Integrate models into production securely
- Monitor model performance
- Optimize pipelines for low latency
- Provide MLOps training and guidance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Containerization | Docker | KServe | Kubeflow | Kubernetes | MLflow | Machine Learning | Machine Learning Experimentation | Machine Learning Model Monitoring | Microservices | Model Monitoring | Model Validation | Series modeling | Time Series | Time Series Modeling | Weights and Biases
Education
N/A
Roles
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