Data Engineer / Data Scientist (AI/ML) (Architect)

Responsibilities: • Design, develop, and maintain ETL and data-processing pipelines using AWS Glue, Lambda, and Step Functions. • Build and optimize ingestion, transformation, and orchestration workflows for structured and unstructured data. • Develop and deploy AI/ML and Generative AI solutions using AWS AI services and foundation models. • Create LLM-powered applications with Amazon Bedrock, Bedrock Agents, and the Strands Agents Framework. • Build Retrieval-Augmented Generation (RAG) solutions, intelligent document-processing workflows, and conversational AI applications. • Develop Python-based APIs, microservices, and backend services. • Use Amazon DocumentDB, Aurora, and other cloud-native databases to support scalable applications. • Collaborate with Data Engineers, Data Scientists, Architects, Product Owners, and business stakeholders. • Apply software engineering, security, compliance, code-quality, and operational-excellence practices. • Implement automated testing, validation, monitoring, and deployment processes. • Troubleshoot and optimize data pipelines, AI models, and application performance.