Lead Machine Learning Engineer
Tasks
- Build and maintain ML pipelines
- Champion Responsible AI
- Develop scalable maintainable ML systems
- Evaluate model performance
- Implement new machine learning technologies
- Lead machine learning solution design
- Lead mentorship and technical guidance
- Measure and analyze ML initiative impact
- Oversee program inception for ML systems
- Train deploy and monitor ML models
- Translate client needs into ML applications
- Troubleshoot technical issues
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud Computing | Cloud platform | Data Science | Databricks | Distributed Systems | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | PyTorch | Python | Scikit-learn | TensorFlow | “as-code”
Education
N/A
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