Machine Learning Engineer, Contact Center Solutions
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 94K-144K Mid-level Full Time
Tasks
- Build and maintain machine learning pipelines
- Build end to end prototypes for ML inference
- Develop train and deploy classification models
- Develop train and deploy time series forecasting models
- Engineer features for predictive accuracy
- Evaluate models using cross validation and backtesting
- Implement MLOps practices for model lifecycle management
- Integrate models with enterprise data sources and dashboards
- Monitor model performance and detect data drift
- Perform exploratory data analysis
- Tune hyperparameters to improve performance
Perks/Benefits
- Dental insurance
- Health insurance
- Hybrid work environment
- Life insurance
- Paid time off
- Retirement savings plan
- Vision insurance
- Wellness benefits
Skills/Tech-stack
ARIMA | Azure | Azure ML | Backtesting | CI/CD | Classification | Concept drift | Concept drift detection | Cross-validation | Data Analysis | Data Drift | Data Drift Detection | Databricks | Drift Detection | Exploratory Data Analysis | F1-score | Feature Engineering | Hyperparameter Tuning | Kubeflow | LSTM | LightGBM | Logistic Regression | MAPE | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Model Training | NumPy | Pandas | Precisión | Prophet | PyTorch | Python | RMSE | Random Forest | Recall | SQL | Scikit-learn | Series forecasting | StatsModels | TensorFlow | Time Series | Time Series Forecasting | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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