Associate Principal - Consulting

Job Summary   Seeking a skilled Data Scientist to develop and deploy advanced ML and AI solutions focusing on timeseries forecasting Gen AI 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 Gen AI 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 Sage Maker 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 Gen AI 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

Mandatory Skills : AI Solution Advisory