Senior Machine Learning Engineer
Tasks
- Automate tests and deployment
- Build cloud-based ML architectures
- Construct data pipelines for ML
- Deploy and monitor ML models in production
- Design build and deliver ML models
- Develop and review model and application code
- Ensure code governance and security
- Implement responsible and explainable AI
- Retrain and maintain models
- Select data and features
- Train and tune hyperparameters
- Validate ML models
Perks/Benefits
Skills/Tech-stack
AWS | Apache Spark | Azure | Bias Variance | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Dimensionality Reduction | Distributed Computing | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | Model Training | Model Validation | PyTorch | Python | Scala | Scikit-learn | TensorFlow
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