[Job-29268] Machine Learning Engineering, Colombia
Tasks
- Apply SHAP model explainability techniques
- Build classical machine learning models for forecasting and regression
- Build feature engineering pipelines for time series forecasting
- Collaborate with stakeholders to translate business rules
- Conduct exploratory data analysis
- Create dashboards using Amazon QuickSight
- Develop data ingestion and processing pipelines
- Develop data visualizations
- Document model performance results
- Evaluate model performance using RMSE MAE and MAPE
- Extract transform data from relational databases
- Model capacity and throughput modeling
- Perform statistical profiling
- Train and evaluate models in Amazon SageMaker
- Use pandas numpy scikit learn matplotlib and seaborn
Perks/Benefits
- CI T University
- Colombian holidays
- Life insurance
- Maternity leave
- Meal voucher
- Mobile services subsidy
- Paid vacations
- Parental leave
- Premium healthcare
- Sick pay
Skills/Tech-stack
AWS | Amazon QuickSight | Amazon SageMaker | Capacity modeling | Classical machine learning | Data Analysis | Data Ingestion | Data Ingestion Pipelines | Data Processing | Data Processing Pipelines | Data Visualization | Data Wrangling | Dimensional Modeling | Exploratory Data Analysis | Feature Engineering | Ingestion pipelines | MAE | MAPE | Machine Learning | Matplotlib | Model Evaluation | NumPy | Pandas | Processing pipelines | Python | RMSE | Regression | SHAP | SQL | Scikit-learn | Seaborn | Series forecasting | Statistical profiling | Throughput modeling | Time Series | Time Series Forecasting
Education
N/A
Regions
Countries
States
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