AI/ML Solutions Engineer
Summary
The AI/ML Solutions Engineer builds and deploys machine learning pipelines and Generative AI applications while ensuring regulatory compliance and model governance. The role involves developing ETL processes, benchmarking models, and performing risk assessments within a financial services environment.
- Build data pipelines for AI workflows
- Collaborate with stakeholders on AI opportunities
- Create model benchmarking frameworks
- Design Generative AI applications
- Develop ETL processes
- Develop machine learning pipelines
- Develop model governance frameworks
- Document model limitations
- Ensure regulatory compliance for model risk management
- Evaluate, fine-tune, and deploy large language models
- Implement monitoring systems for risk detection
- Perform model risk assessments