Lead Machine Learning Engineer
Tasks
- Build scalable maintainable machine learning systems
- Champion Responsible AI
- Deploy machine learning models
- Develop machine learning pipelines
- Evaluate model outcomes
- Implement new ML technologies
- Lead machine learning solution design
- Lead mentorship and team collaboration
- Maintain infrastructure for ML training and serving
- Measure and analyze ML initiative impact
- Monitor model performance
- Oversee program inception
- Train machine learning models
- Translate client needs into ML applications
- Troubleshoot machine learning issues
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud Computing | Cloud platform | Databricks | Distributed Systems | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | MLOps | MLflow | Monitoring | On-premise | PyTorch | Python | Responsible AI | Scalable architectures | Scikit-learn | Shell | TensorFlow | “as-code”
Education
N/A
Regions
Countries
States
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