Principal Machine Learning Engineer
Tasks
- Build ML pipelines
- Champion Responsible AI
- Deploy machine learning models
- Design scalable maintainable ML systems
- Develop ML applications
- Incorporate new machine learning technologies
- Lead machine learning strategy
- Lead program inception for ML systems
- Lead teams through hands on coding
- Measure ML initiative impact
- Mentor and guide engineers
- Monitor and evaluate ML models
- Train machine learning models
- Troubleshoot ML production issues
Perks/Benefits
- N/A
Skills/Tech-stack
Distributed Systems | Infrastructure as Code | Lifecycle Management | ML pipelines | Machine Learning | Model Deployment | Model Lifecycle | Model Lifecycle Management | Model Training | Monitoring | Responsible AI | Scalable architectures | “as-code”
Education
N/A
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