Data Engineer, Machine Learning
Tasks
- Build production data pipelines
- Create dataset versioning lineage and reproducibility
- Define data governance and privacy standards
- Develop data discovery exploration and request tooling
- Implement data quality frameworks
- Monitor schema validation drift detection and coverage
- Optimize large scale data processing for cost and performance
- Partner with ML teams on data requirements
- Prepare conversational voice and multimodal data for model training
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Health insurance
- Stock options
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
Airflow | Apache Spark | Coverage monitoring | Dagster | Data Drift | Data Drift Detection | Data Governance | Data Pipelines | Data Privacy | Data Quality | Data Versioning | Dataset labeling | Distributed Computing | Drift Detection | EKS | ELT | ETL | Embedding storage | Feature Stores | GKE | JSON | Kubernetes | Lineage Tracking | Machine Learning | Machine learning data | Machine learning data pipelines | Model Evaluation | Prefect | Python | Ray | SQL | Schema Validation | Semi-structured | Semi-structured Data | Structured data | Unstructured Data | Vector Databases
Education
N/A
Regions
Countries
States
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