Sr. Lead Machine Learning Engineer
Tasks
- Apply CI/CD best practices
- Automate tests and deployment
- Build data pipelines for ML
- Design ML models and components
- Design scalable cloud ML architectures
- Develop and review ML code
- Develop and validate ML models
- Ensure high availability and performance
- Follow Responsible AI and Explainable AI best practices
- Lead team development of ML solutions
- Manage code and reduce vulnerabilities
- Monitor and maintain models in production
- Select model data and features
- Train tune and validate ML models
Perks/Benefits
- N/A
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 Training | Model Validation | Monitoring | PyTorch | Python | Responsible AI | Scala | Scikit-learn | TensorFlow | Test automation
Education
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