Sr Lead Machine Learning Engineer
Tasks
- Automate tests and deployment
- Build cloud-based ML architectures
- Construct data pipelines for ML
- Design build deliver ML models
- Develop review model and application code
- Ensure high availability and performance
- Govern models for responsible explainable AI
- Implement continuous integration/continuous deployment
- Make ML infrastructure decisions
- Monitor and maintain models in production
- Train tune validate ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Bias Variance | Cloud platform | Continuous Deployment | Continuous integration | Dask | Data Pipelines | Data Validation | Dimensionality Reduction | Distributed Computing | Explainable AI | Feature Selection | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Java | Machine Learning | Microsoft Azure | Model Training | Monitoring | Production Deployment | PyTorch | Python | Responsible AI | Scala | Scikit-learn | TensorFlow | Test automation
Education
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