Senior Data Scientist | GenAI Engineer (AWS, LLM, Forecasting) Remote | Chicago, IL

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
;br />......................................................................................................................................
| Desk No.: x 349 | 100 Franklin Square Drive Suite 104 | Somerset, NJ 08873
|
Certified NJ and NY Minority Business Enterprise (NMSDC)
Empower Professionals firmly opposes e-mail "spamming". We apologize to those who do not wish to receive this e-mail and also to those who have accidentally received it again. Please reply with REMOVE in the subject listing, with all aliases' email addresses that you would want removed and any inconvenience caused is highly regretted. We appreciate your patience and cooperation. This e-mail and any files transmitted with it are for the sole use of the intended recipient(s) and may contain confidential and privileged information. If you are not the intended recipient(s), please reply to the sender and destroy all copies of the original message. Any unauthorized review, use, disclosure, dissemination, forwarding, printing or copying of this email, and/or any action taken in reliance on the contents of this e-mail is strictly prohibited and may be unlawful.