Sr. Lead Machine Learning Engineer
Tasks
- Automate tests and deployment
- Build scalable cloud ML architectures
- Construct data pipelines for ML
- Design build deliver ML models
- Develop and validate ML models
- Ensure responsible and explainable AI
- Implement Continuous Integration and Continuous Deployment
- Maintain code quality and security
- Monitor and retrain models in production
- Perform hyperparameter tuning and validation
- Select data features and model training
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Automated testing | Azure | Bias Variance | Big Data | Cloud Computing | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Dimensionality Reduction | Feature Selection | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | Kubeflow | Machine Learning | Model Training | Model Validation | Monitoring | PyTorch | Python | Scala | Scikit-learn | Spark | TensorFlow
Education
Regions
Countries
States
Cities
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