Role name: Senior Data Scientist / GenAI Engineer (AWS, Financial Forecasting & LLM)
Work site: Chicago, IL (Remote)
- Design, build and deploy Machine Learning models for financial forecasting, including time series, predictive and hybrid approaches.
- Apply Large Language Models (LLMs) to forecasting and analytics use cases, such as feature enrichment, scenario generation, qualitative signal extraction, and hybrid ML LLM forecasting frameworks.
- Work with AWS services, especially S3, Redshift, and Amazon Bedrock for integrating foundation models and GenAI capabilities.
- Develop end to end ML and LLM-powered pipelines: data ingestion, feature engineering, model training, validation, and production deployment.
- Implement MLOps best practices for both ML and LLM solutions: CI/CD pipelines, model and prompt versioning, monitoring, retraining, and lifecycle management.
- Use Python for advanced data analysis, ML/LLM development, and experimentation; leverage SQL for analytics and data extraction.
- Collaborate with business and finance stakeholders to translate forecasting and decision making needs into scalable, data driven and GenAI enabled solutions.
- Optimize performance, scalability, and cloud cost efficiency of ML and LLM solutions in an enterprise AWS environment.