Artificial Intelligence/Machine Learning Engineer 2 - (Python, PyTorch, TensorFlow)
Tasks
- Apply model metrics
- Build data pipelines
- Create machine learning models
- Deploy and monitor models
- Design machine learning algorithms
- Detect data distribution shifts
- Improve models using feedback
- Integrate AI and ML systems
- Perform statistical analysis
- Productize AI and ML algorithms
- Schedule model execution
- Select training datasets
- Test and evaluate models
- Train and retrain models
- Verify data and model output quality
Perks/Benefits
Skills/Tech-stack
Data Governance | Data Modeling | Data Structures | Data pipeline | Java | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | PyTorch | Python | R | Statistical Analysis | TensorFlow
Education
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