5+ years of experience in data science or equivalent role
Strong proficiency in machine learning and deep learning techniques
Experience with timeseries forecasting and analysis
Familiarity with AWS services like SageMaker and Lambda
Knowledge of Generative AI and Agentic AI workflows
Proficiency in ETL processes and data integration
Strong coding skills in Python or relevant programming languages
Responsibilities
Collaborate on data science initiatives to address business problems
Execute data preparation and feature engineering tasks
Design and optimize ML and deep learning models
Lead timeseries forecasting projects for revenue and sales
Develop GenAI workflows and LLM-based solutions
Utilize AWS for deploying and maintaining MLOps pipelines
Build and manage ETL and data transformation workflows
Benefits
Opportunity to work with cutting-edge AI technologies
Collaborative environment focused on innovation
Access to advanced tools and platforms in AWS
Career growth opportunities in data science
Engagement in diverse and impactful projects
Full Job Description
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
