Machine Learning Engineer (MLOps) 1
Tasks
- Build predictive models with Python and PySpark
- Develop fuel forecasting model
- Enhance predictive forecasting models
- Implement model monitoring and versioning
- Integrate Azure services into ML workflows
- Manage environments and secure deployment pipelines
- Perform feature engineering and feature selection
- Set up CI/CD pipelines and automated testing
- Support reliability scalability and performance for ML tools
- Track experiments and manage model registry with MLflow
- Train and deploy regression classification and clustering models
- Write production grade Python for data processing and model serving
Perks/Benefits
- N/A
Skills/Tech-stack
API | Azure Data | Azure Data Factory | Azure DevOps | Azure Functions | Azure ML | CI/CD | Classification | Clustering | Container Apps | Cosmos DB | Data Factory | Databricks | Feature Engineering | MLflow | Machine Learning | PySpark | PyTorch | Python | Regression | TensorFlow
Education
N/A
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