Senior Data Scientist | GenAI Engineer (AWS, LLM, Forecasting) Remote | Chicago, IL
Posted Today by Empower Professionals
Negotiable
Undetermined
Remote
Remote
Summary: The role of Senior Data Scientist / GenAI Engineer focuses on designing, building, and deploying machine learning models for financial forecasting and analytics, utilizing AWS services and large language models. The position requires collaboration with business stakeholders to create scalable, data-driven solutions while implementing MLOps best practices. The role is remote and spans a duration of 12 months. Compensation is based on experience and interview evaluation.
Key Responsibilities:
- Design, build and deploy Machine Learning models for financial forecasting.
- Apply Large Language Models (LLMs) to forecasting and analytics use cases.
- Work with AWS services, especially S3, Redshift, and Amazon Bedrock.
- Develop end-to-end ML and LLM-powered pipelines.
- Implement MLOps best practices for ML and LLM solutions.
- Use Python for advanced data analysis and ML/LLM development.
- Collaborate with business and finance stakeholders for scalable solutions.
- Optimize performance, scalability, and cloud cost efficiency of solutions.
Key Skills:
- Experience with Machine Learning and financial forecasting.
- Proficiency in Large Language Models (LLMs).
- Strong knowledge of AWS services (S3, Redshift, Amazon Bedrock).
- Expertise in Python and SQL for data analysis and ML development.
- Understanding of MLOps best practices.
- Ability to collaborate with business stakeholders.
- Experience in optimizing cloud solutions for performance and cost.
Salary (Rate): undetermined
City: Chicago
Country: USA
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Hi,
This is Tanish Chaurasia from Empower Professionals. We currently have an opportunity for the role
Role: Senior Data Scientist / GenAI Engineer (AWS, Financial Forecasting & LLM)
Duration: 12 Months
Location: Chicago, IL (Remote)
Job Description:
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.
In compliance with the salary transparency law, the expected pay range for this role is $55. Actual compensation depends on experience and interview evaluation.
Thanks and Regards,
Tanish Chaurasia
Technical Recruiter
Empower Professionals
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