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Senior Data Scientist – AWS AI/ML & Data Engineering Expert Location: Remote / Hybrid Type: Full-Time About the Role We are seeking a Senior Data Scientist with expertise in AWS AI/ML, Bedrock, and data engineering to play a key role in customizing foundation models (FMs) using Retrieval-Augmented Generation (RAG), optimizing AWS Glue ETL workflows, and integrating AI-driven insights into dynamic reporting solutions. This role will work closely with Full Stack Developers, Product Owners, and AWS Cloud Architects to ensure that AI-driven insights align with visualization requirements. Key Responsibilities AI/ML Development & AWS Bedrock Customization Customize AWS Bedrock foundation models (FMs) using Retrieval-Augmented Generation (RAG) for domain-specific applications. Build and fine-tune ML models for entity resolution, predictive analytics, and data enrichment. Implement ML inference pipelines using AWS SageMaker and integrate models into AWS Glue workflows. Utilize Bedrock-powered AI to enable intelligent search, summarization, and insights in reports and dashboards. Design and implement AWS Glue ETL jobs using AWS Glue Studio for scalable data transformation. Work with AWS Glue Crawlers and AWS Glue Data Catalog to optimize metadata management. Develop Athena and Redshift queries for efficient data retrieval and processing. Automate ML model deployment using AWS Step Functions and Lambda. Architectural Data Design for AI-Driven Visualization Work closely with Full Stack Developers to ensure AI-driven insights are structured for integration into Power BI. Architect data structures that support shape file-based geographic visualizations, ensuring compatibility for Full Stack Developers to implement in Power BI. Ensure role-based access controls (RBAC) are correctly applied at both the visualization and row-level to control who can see which reports and data subsets. Requirements Required Qualifications 5+ years of experience in Data Science, AI/ML, or a similar role with hands-on AWS experience. Expertise in customizing AWS Bedrock foundation models (FMs) using RAG. Strong programming skills in Python (Pandas, NumPy, PySpark, Hugging Face, LangChain, TensorFlow, PyTorch). Hands-on experience with Athena, Redshift, SageMaker, Step Functions, and Lambda. Understanding of data architectures that support shape file-based geographic visualizations in Power BI (implementation handled by Full Stack Developers). Strong knowledge of role-based access controls (RBAC) for both visualization access and row-level data security. Preferred Qualifications Experience integrating AI insights into Power BI reports or web-based dashboards. Knowledge of AWS Lake Formation, data security models, and compliance best practices. Familiarity with GovTech, election software, or compliance-driven AI analytics (a plus). Experience working with Product Owners and Customer to translate Product Vision to concept and MVP – full lifecycle opportunity. Experience directly translating customer and business needs and translating them into actionable technical product outcomes. Experience in data-lab or start-up environment. Interested? Apply today! If you're a Data Scientist with expertise in AWS AI/ML, Bedrock FMs, and scalable data pipelines, we’d love to hear from you!

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