Pakistan Single Window (PSW)
B2B • Compliance • Government
Pakistan Single Window (PSW) is an integrated digital platform designed to streamline cross-border trade in Pakistan. It enables parties involved in trade to submit standardized information and documents through a single-entry point to meet all import, export, and transit-related regulatory requirements. PSW aims to reduce the time and cost of doing business by digitalizing Pakistan’s cross-border trade processes and eliminating paper-based manual procedures. It integrates commercial banks, customs, and other government agencies on a unified digital platform to facilitate financial transactions, regulatory compliance, and the electronic processing of licenses, permits, and certificates. Its Tradeverse portal offers a single access point for trade information related to imports, exports, and transit, enhancing the efficiency and transparency of trade operations in Pakistan.
AI Data Engineer
Job not on LinkedIn
October 23
Pakistan Single Window (PSW)
B2B • Compliance • Government
Pakistan Single Window (PSW) is an integrated digital platform designed to streamline cross-border trade in Pakistan. It enables parties involved in trade to submit standardized information and documents through a single-entry point to meet all import, export, and transit-related regulatory requirements. PSW aims to reduce the time and cost of doing business by digitalizing Pakistan’s cross-border trade processes and eliminating paper-based manual procedures. It integrates commercial banks, customs, and other government agencies on a unified digital platform to facilitate financial transactions, regulatory compliance, and the electronic processing of licenses, permits, and certificates. Its Tradeverse portal offers a single access point for trade information related to imports, exports, and transit, enhancing the efficiency and transparency of trade operations in Pakistan.
📋 Description
• Build and optimize ETL pipelines for large-scale AI applications, integrating APIs, web scraping, and real-time data processing. • Develop and maintain scalable AI data infrastructure using PySpark, Pandas, SQL, and cloud services (Azure, AWS, GCP). • Implement retrieval-augmented generation (RAG) pipelines using FAISS, ChromaDB, and Pinecone for AI-driven insights. • Deploy and monitor AI applications using FastAPI, Streamlit, Docker, for real-time performance. • Work with cross-functional teams to ensure data security, compliance, and AI model reliability in production environments.
🎯 Requirements
• Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field. • Atleast 2-4 years of experience in data engineering, AI/ML, or cloud-based AI infrastructure. • Expertise in Python, PySpark, and SQL for data transformation and large-scale processing. • Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation. • Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval. • Proficiency in containerization and orchestration tools like Docker and Kubernetes. • Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment. • Knowledge of API development and AI service integration using FastAPI and Streamlit/Dash. • Ability to optimize AI-driven automation processes and ensure model efficiency. • Strong analytical and problem-solving skills. • Excellent communication and collaboration abilities.
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