Associate - AI | ML Engineer
Tasks
- Apply model explainability techniques
- Collaborate with data engineers and MLops teams
- Conduct exploratory data analysis
- Design prompts for large language models
- Develop optimize supervised machine learning models
- Evaluate model performance using classification and regression metrics
- Monitor model drift and data quality
- Package deploy machine learning models to production
- Perform feature engineering and hyperparameter tuning
- Translate analytical findings for business stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AUC-ROC | AWS | Azure | Cloud platform | Cross-validation | Decision Trees | Experiment tracking | F1-score | Feature Engineering | Git | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Kubeflow | LightGBM | Linear Regression | Logistic Regression | MAE | MLflow | Matplotlib | Model Evaluation | NumPy | Pandas | Partial Dependence | Partial Dependence Plots | Precision-recall | Python | R Squared | RMSE | Random Forests | SHAP | SQL | Scikit-learn | Support Vector Machines | Vector machines | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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