Lead Machine Learning Engineer
Tasks
- Build ML pipelines for training deployment
- Champion responsible AI practices
- Deploy and monitor ML models
- Develop scalable maintainable ML systems
- Evaluate model performance
- Lead design of machine learning solutions
- Measure analyze ML initiative impact
- Mentor and guide engineering team
- Oversee program inception for new ML systems
- Research and implement new ML technologies
- Troubleshoot ML system issues
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Azure | CI/CD | Cloud Computing | Cloud platform | Databricks | Distributed Systems | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | MLOps | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model Training | Monitoring | PyTorch | Python | Scikit-learn | TensorFlow | Web Services | “as-code”
Education
N/A
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