Senior Lead Machine Learning Engineer
Tasks
- Automate testing
- Build cloud-based architectures
- Build data pipelines
- Build machine learning models
- Deploy machine learning models
- Design machine learning architectures
- Develop and test application code
- Develop model and application code
- Ensure code security and governance
- Ensure high availability and performance
- Implement continuous deployment
- Implement continuous integration
- Maintain models in production
- Monitor models in production
- Train models
- Tune hyperparameters
- Validate 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 | Explainable AI | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | Machine Learning | Model Monitoring | Model Training | Model Validation | PyTorch | Python | Responsible AI | Scala | Scikit-learn | TensorFlow | Test automation
Education
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