Lead Machine Learning Engineer
Tasks
- Apply explainable AI best practices
- Apply responsible AI best practices
- Automate testing and deployment
- Build ML models and components
- Build cloud-based ML architectures
- Deploy and scale ML systems
- Design ML architecture
- Design ML models
- Design and optimize data pipelines
- Develop model and application code
- Ensure application performance
- Ensure model and application availability
- Implement CI/CD
- Maintain models in production
- Manage code governance and security
- Monitor models in production
- Review model and application code
- Train and tune ML models
- Validate ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Automated testing | Bias Variance | CI/CD | Dask | Data Pipelines | Dimensionality Reduction | Distributed Computing | Explainable AI | Feature Selection | Go | Hyperparameter Tuning | Java | Kubernetes | Machine Learning | Model Training | Model Validation | Monitoring | PyTorch | Python | Responsible AI | Scala | Scikit-learn | TensorFlow
Education
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