Principal Machine Learning Engineer
Tasks
- Build and maintain machine learning pipelines
- Champion responsible AI practices
- Develop scalable maintainable machine learning systems
- Implement new machine learning technologies
- Lead design of machine learning solutions
- Lead mentorship and hands on coding
- Measure analyze and improve machine learning impact
- Monitor and evaluate model performance
- Oversee program inception for new systems
- Train, validate, and deploy machine learning models
- Translate client needs into machine learning applications
- Troubleshoot complex technical issues
Perks/Benefits
Skills/Tech-stack
Cloud infrastructure | Deep learning | DevOps | Distributed Systems | Infrastructure as Code | Learning algorithms | MLOps | Machine Learning | Machine learning algorithms | Model Deployment | Model Evaluation | Model Monitoring | Model Training | On-premise | On-premise infrastructure | Responsible AI | Scalable architectures | “as-code”
Education
N/A
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