AI Data Outcomes Engineer
Tasks
- Build data pipelines for AI platform
- Cleanse and structure data for AI ML
- Collaborate with solution architects
- Design scalable ETL workflows
- Explain data concepts to stakeholders
- Implement data validation
- Improve AI model data quality
- Ingest unstructured datasets
- Integrate data from diverse sources
- Optimize pipeline performance
- Troubleshoot pipeline issues
Perks/Benefits
- 401k match
- Birthday off
- Dental insurance
- Disability insurance
- Health holiday
- Life insurance
- Medical insurance
- Paid time off
- Parental leave
- Tuition reimbursement
- Vision insurance
- Wellness program
Skills/Tech-stack
AWS Glue | Apache Airflow | Big Data | Big-data frameworks | Data Cleansing | Data Frameworks | Data Validation | ETL | Machine Learning | NoSQL Databases | Python | SQL | SQL Databases | Unstructured Data
Education
Roles
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