AI / Data Engineer Intern

Overview

• Assist in building and maintaining data pipelines (ETL/ELT) from multiple sources such as APIs, databases, and files.
• Work with structured and semi-structured data formats, including CSV, JSON, and logs.
• Develop data models and support data storage systems like data lakes and warehouses.
• Ensure data quality, consistency, and reliability through validation and transformation processes.
• Write SQL queries for data transformation, validation, and analysis.
• Assist in designing and implementing AI/ML solutions to address business problems.
• Build and support backend services integrating AI models into applications.
• Contribute to proof-of-concepts and prototypes for AI solutions.
• Work on NLP and LLM-based solutions, including Retrieval-Augmented Generation (RAG) systems.
• Support model evaluation, optimization, and deployment processes.
• Collaborate with cross-functional teams, including data engineers, AI specialists, frontend developers, and clients.