Lead Machine Learning Engineer
Tasks
- Build machine learning pipelines
- Champion Responsible AI
- Deploy machine learning models
- Develop scalable maintainable machine learning systems
- Evaluate model results
- Lead machine learning solution design
- Measure and analyze ML initiative impact
- Mentor and guide engineering team
- Monitor model performance
- Oversee program inception for new systems
- Own machine learning application development and maintenance
- Refine approaches iteratively
- Research and adopt new machine learning technologies
- Train machine learning models
- Translate client needs into ML applications
- Troubleshoot technical issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud services | Data Science | Databricks | Distributed Systems | Google Cloud | Infrastructure as Code | Kubeflow | MLOps | MLflow | Machine Learning | Model Deployment | Model Lifecycle | Model Training | Monitoring | On-Prem Deployment | On-prem | PyTorch | Python | Scalable architectures | Scikit-learn | TensorFlow | “as-code”
Education
N/A
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