Experience with Azure OpenAI should have leveraged large language models, should understand data flows(Azure function is a plus) and real time updates.
Experience with Python. (PyTorch or Tensor flow is a plus)
Data security and privacy when developing AI models should have experience with data encryption, access control, and anonymization. Should be compliance with relevant regulations like GDPR. Should have used services like Azure Key Vault for managing secrets and Azure Policy to enforce security standards.
Approach model selection and hyperparameter tuning in Azure Machine Learning should have experimented with different algorithms using Azure Machine Learning's automated ML feature to get a baseline; For hyperparameter tuning, use Azure's HyperDrive service is a plus, which allows to run multiple training experiments in parallel and find the optimal parameters efficiently.
Should be able to walk us through process for deploying machine learning models in a production environment should mention about dockerization and Azure Monitor
Deal with imbalanced data SMOTE
Performance churn and hyperparameter tuning.
Describing complex AI to non-technical audience
Job Classification
Industry: Recruitment / Staffing Functional Area / Department: Data Science & Analytics Role Category: Data Science & Machine Learning Role: Data Scientist Employement Type: Full time