Lead Machine Learning Engineer
Tasks
- Build ML pipelines and model training
- Champion Responsible AI
- Deploy and maintain ML models
- Develop scalable maintainable ML systems
- Lead ML system design
- Measure and analyze ML initiative impact
- Mentor and guide engineering teams
- Monitor and evaluate ML performance
- Oversee program inception for new systems
- Translate client needs into ML solutions
- Troubleshoot ML technical issues
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Data Pipelines | Databricks | Distributed Systems | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | PyTorch | Python | Responsible AI | Scikit-learn | Shell | TensorFlow | “as-code”
Education
N/A
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