Senior Machine Learning Engineer
Tasks
- Build feature engineering pipelines
- Conduct code reviews and design discussions
- Deploy and monitor models
- Design ETL pipelines
- Develop production machine learning systems
- Establish observability and monitoring
- Implement SQL based feature transformations
- Mentor junior engineers
- Monitor data quality and model drift
- Participate in incident response
- Perform post-incident reviews
- Productionize and integrate models into decisioning systems
- Support on-call rotations
- Train and evaluate models
Perks/Benefits
Skills/Tech-stack
Data Modeling | Data Quality | Data quality monitoring | Drift monitoring | ETL | Feature Engineering | MLOps | Machine Learning | Model Drift | Model Registry | Model Serving | Model Training | Model drift monitoring | Object-Oriented | Object-oriented design | Orchestration | Python | Quality monitoring | SQL | Testing | Version control
Education
Regions
Countries
States
Cities
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