Machine Learning Engineer
Oakbrook Terrace, IL, US
USD 139K-220K (estimate) Mid-level Full Time Found 8d ago
Tasks
- Build ML pipelines for training and inference
- Build data validation checks
- Contribute to GenAI initiatives
- Deploy ML models into production
- Deploy production pipelines
- Design data pipelines in Databricks
- Document data processes
- Implement data transformations
- Implement model versioning and experiment tracking
- Implement monitoring and alerting
- Maintain ETL workflows
- Monitor model performance and drift
- Optimize Spark jobs
- Support A/B testing
- Support ML model development
- Troubleshoot production issues
Perks/Benefits
Skills/Tech-stack
AWS | Cloud Computing | Containerization | Customer Segmentation | Data Pipelines | Data Transformations | Databricks | Databricks Workflows | Docker | LightGBM | ML model monitoring | ML modeling | MLflow | Marketing Analytics | Model Deployment | Model Monitoring | NumPy | Pandas | Propensity Modeling | PySpark | Python | SQL | Scikit-learn | Spark | SparkSQL | Supervised Learning | Workflow Orchestration | XGBoost
Education
Language: en |
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