Senior Data & Machine Learning Engineer
Tasks
- Build data serving layers
- Build internal developer tooling
- Collaborate with Data Science on ML solutions
- Define ML lifecycle best practices
- Design build and maintain storage systems
- Design, build, and maintain data pipelines
- Develop data orchestration and transformation layers
- Enforce data quality governance and standards
- Implement logging, metrics, and alerting
- Improve pipeline reliability and observability
- Integrate DBT and Spark workflows
- Monitor and troubleshoot pipelines and ML systems
- Optimize compute and cost efficiency
- Productionize machine learning models
- Support feature engineering training pipelines and inference workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Amazon Web Services | Apache Airflow | Apache Spark | Batch Processing | Cloud platform | DBT | Dagster | Data Governance | Data Modeling | Data Quality | Data orchestration | Distributed Systems | ELT | ETL | Feature Engineering | Google Cloud | Google Cloud Platform | Inference | Logging | Machine Learning | Metrics | Microsoft Azure | Model Deployment | Model Monitoring | Model Training | Observability | Prefect | Python | Streaming | Web Services
Education
N/A
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