Senior Machine Learning Engineer
Brazil | Rio de Janeiro
BRL 305K-370K (estimate) Senior-level Full Time
Tasks
- Apply optimization and operations research methods
- Design build validate deploy predictive models
- Develop modeling standards evaluation practices and reusable tooling
- Engineer features and data pipelines
- Frame business problems as modeling tasks
- Integrate models into products and workflows
- Productionize models with monitoring drift detection and retraining
- Run experiments and causal analyses
- Stay current with machine learning and statistics methods
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | APIs | B testing | Backtesting | CI/CD | Causal Inference | Clustering | Data pipeline | Drift Detection | Feature Engineering | Gradient boosting | Infrastructure as Code | MLOps | Machine Learning | Maintainability | Model Evaluation | Model Monitoring | NumPy | Pandas | Python | Regularized regression | Reproducibility | Retraining | SQL | Scikit-learn | Series forecasting | Statistics | Supervised Learning | Testing | Time Series | Time Series Forecasting | Unsupervised Learning | “as-code”
Education
N/A
Regions
Countries
States
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