AI Data Engineer

Hi Role: AI Data Engineer Mandatory Skills- Python, AI/ML Remote Retail domain profiles ETL, pipelines, data lakes etc Retail domain experience is highly preferable. Looking for the candidate who can do W2. JD: We are seeking an experienced AI Data Engineer (15+ Years) to design, develop, and manage scalable data platforms that enable advanced analytics, Machine Learning (ML), and Generative AI solutions. The ideal candidate will build robust data pipelines, ensure data quality, and integrate AI/ML capabilities into enterprise data ecosystems. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. • Build and optimize data lakes, data warehouses, and AI-ready data platforms. • Develop ingestion, transformation, and orchestration frameworks using cloud-native technologies. • Prepare, cleanse, and engineer datasets for AI/ML and Generative AI workloads. • Integrate Large Language Models (LLMs), vector databases, embeddings, and RAG (Retrieval-Augmented Generation) pipelines into enterprise solutions. • Implement data governance, security, lineage, and quality controls. • Collaborate with Data Scientists, AI Engineers, Business Analysts, and Solution Architects. • Monitor, troubleshoot, and optimize data pipelines and platform performance. • Automate deployment, testing, and monitoring of data engineering workflows. • Create technical documentation and data dictionaries for enterprise data assets.