Lead Machine Learning Engineer
Tasks
- Apply Responsible AI and Explainable AI best practices
- Automate testing and deployment
- Build optimized data pipelines
- Design build and deliver ML models and components
- Design cloud-based ML architectures
- Ensure ML code governance and vulnerability reduction
- Make ML infrastructure decisions
- Retrain, maintain, and monitor models in production
- Train tune and validate ML models
- Write test and deploy ML application code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | Bias Variance | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Data feature engineering | Dimensionality Reduction | Distributed Computing | Feature Engineering | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | Machine Learning | Model Training | Model Validation | Monitoring | PyTorch | Python | Scala | Scikit-learn | TensorFlow | Test automation
Education
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