Applied AI Engineer – Production
Tasks
- Build inference monitoring pipelines
- Deploy AI/ML models
- Detect patterns in production and equipment data
- Develop end-to-end AI/ML solutions
- Drive AI/ML strategy
- Implement model version control
- Monitor deployed models
- Perform root cause analysis
- Retrain models
- Support data modeling and analytics
- Validate model performance
Perks/Benefits
- N/A
Skills/Tech-stack
Data Modeling | Data analytics | Docker | Git | Inference Pipelines | MLflow | Machine Learning | Model Monitoring | Model retraining | NumPy | Pandas | Python | REST APIs | Scikit-learn | Statistical Analysis | Version control
Education
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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