Role description

Job Summary

Seeking a skilled Data Scientist to develop and deploy advanced ML and AI solutions focusing on timeseries forecasting GenAI workflows and AWSbased MLOps pipelines

Job Description

Perform data preparation feature engineering and exploratory data analysis Build and optimize machine learning and deep learning models tailored to business use cases Work on timeseries forecasting problems such as revenue and sales forecasting Develop and implement GenAI and Agentic AI workflows and pipelines Implement LLMbased solutions including prompt engineering evaluation and retrievalaugmented generation RAG when applicable Design and work with forecasting systems virtual assistants VAP and multimodal AI systems Develop and deploy solutions using AWS services such as SageMaker Bedrock Lambda S3 and Step Functions Build and manage ETL pipelines data ingestion and transformation workflows Integrate machine learning outputs into downstream applications and dashboards

Roles and Responsibilities

Collaborate on data science and model development initiatives Execute comprehensive data preparation and feature engineering tasks Design build and optimize ML and deep learning models for various business challenges Address timeseries forecasting challenges to support business forecasting needs Lead development of GenAI and Agentic AI workflows and pipelines Implement and finetune LLMbased solutions including prompt engineering and evaluation Develop forecasting systems virtual assistants and multimodal AI applications Utilize AWS services to develop deploy and maintain MLOps pipelines Manage model deployment monitoring drift detection and explainability Build and maintain ETL pipelines and data integration workflows Ensure seamless integration of ML outputs into business applications and reporting tools