Senior AI Engineer
Tasks
- Build machine learning models for identity and risk
- Deploy model features and artifacts to production
- Design end to end ML model lifecycle systems
- Develop data pipelines for entity centric merchant data
- Implement ETL and ELT for high performance data access
- Set up monitoring and testing frameworks
- Support incident response debugging and performance tuning
- Write testable production-grade code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Apache Spark | Data Engineering | Data Pipelines | Databases | Databricks | ELT | ETL | Feature Engineering | GCP | Machine Learning | Model Deployment | Monitoring | Python | SQL | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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