Lead Machine Learning Engineer
Tasks
- Apply responsible AI and explainable AI
- Automate tests and deployment for ML models
- Build and optimize data pipelines for ML
- Design build and deliver ML models
- Design cloud-based ML architectures
- Develop and review model and application code
- Ensure CI CD with test automation
- Ensure availability and performance of ML applications
- Improve code security and governance
- Monitor and maintain models in production
- Select data and features for training
- Train tune and validate ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Bias Variance | Cloud Computing | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data pipeline | Dimensionality Reduction | Feature Selection | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | Machine Learning | Microsoft Azure | Model Training | Model Validation | PyTorch | Python | Scala | Scikit-learn | TensorFlow | Test automation
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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