Data Engineer

About The Institute Of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies. Key Responsibilities Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLPresearchers,delivering data within tight timelinesDevelop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processesRefine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarkingImplement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teamsCollaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteriaDocument data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectivelyEngage with peer teams and participate in technical reviews to uphold best practices and data quality standardsRepresent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure Academic Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field requiredMaster’s degree or PhD degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred Professional Experience - Required Extensive experience in data engineering, data processing, and automation using PythonDemonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and processing pipelinesStrong understanding of data structures, algorithms, databases, SQL, and performance optimizationExperience working with cloud infrastructure and distributed data processing frameworks (e.g., AWS, Spark, Kafka, Kubernetes)Excellent problem-solving abilities, attention to detail, and the capability to rapidly address technical challengesStrong communication and collaboration skills with cross-functional teams Professional Experience - Preferred Proven track record of supporting NLP or AI research teams with rapid and reliable data deliveryExperience working with large language models, including evaluation, efficient inference, and prompt engineeringExperience with refining outputs from large-scale AI models, such as LLM-generated dataContributions to open-source projects, coding competitions, or high visibility in coding communities (e.g., GitHub, Stack Overflow)Familiarity with the latest advancements in NLP data processing and large language model technologies Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include Comprehensive medical, dental, and vision benefitsBonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance ProgramLife insurance and disability