AI/ML Data Engineer
Tasks
- Build feature pipelines and training datasets
- Build forecasting and model training workflows
- Collaborate with data engineering and BI teams on KPIs
- Create reusable notebooks libraries and feature engineering patterns
- Deploy batch near real time and API based inference outputs
- Monitor model performance and drift
- Operationalize model training evaluation deployment and inference
- Serve AI ready governed outputs for reporting and AI consumption
- Track errors and ensure traceability
- Validate data quality and metric consistency
Perks/Benefits
- 401k match
- Dental insurance
- Flex Spending Account
- Health insurance
- Life insurance
- Long-term disability insurance
- Short-term Disability Insurance
- Vision insurance
Skills/Tech-stack
AI Model Serving | API | Apache Spark | Data Validation | Data Versioning | Databricks | Databricks Workflows | Delta Lake | Feature Engineering | MLflow | Model Deployment | Model Evaluation | Model Inference | Model Monitoring | Model Serving | Model versioning | Mosaic AI | Mosaic AI Model Serving | Python | Retrieval-Augmented Generation | SQL | Series forecasting | Time Series | Time Series Forecasting | Unity Catalog | Vector Search
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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