Artificial Intelligence Machine Learning 2 - (Python, Java, PyTorch)
Tasks
- Build data pipelines and integrate data
- Create machine learning algorithms
- Deploy and schedule models
- Design machine learning models
- Improve models using iterative feedback
- Monitor model performance
- Perform statistical analysis
- Provide system integration oversight
- Research and implement AI and machine learning algorithms
- Retrain models
- Select appropriate datasets
- Test and evaluate model performance
- Transform data science prototypes into scalable solutions
- Verify data and model output quality
Perks/Benefits
Skills/Tech-stack
C# | Data Governance | Data Modeling | Data Structures | Data pipeline | Java | Machine Learning | Metrics | Model Deployment | Model Monitoring | Model retraining | PyTorch | Python | R | Statistical Analysis | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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